deploy: c37af13

robert-lieck · Feb 3, 2025 · 846b0bc · 846b0bc
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diff --git a/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip b/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip
diff --git a/_downloads/11d6d43464c14efce21535e2d86cf9ef/Coursework_Template.py b/_downloads/11d6d43464c14efce21535e2d86cf9ef/Coursework_Template.py
@@ -63,7 +63,7 @@ def train(self):
 
 
 env = rld.make("rldurham/Walker", render_mode="rgb_array")
-# env = rld.make("rldurham/Walker", render_mode="rgb_array", hardcore=True) # only attempt this when your agent has solved WalkerEasy
+# env = rld.make("rldurham/Walker", render_mode="rgb_array", hardcore=True) # only attempt this when your agent has solved the non-hardcore version
 
 # get statistics, logs, and videos
 env = rld.Recorder(

diff --git a/_downloads/131b2b4f284f8b6a2286f29077475f41/Coursework_Template.ipynb b/_downloads/131b2b4f284f8b6a2286f29077475f41/Coursework_Template.ipynb
@@ -80,7 +80,7 @@
       },
       "outputs": [],
       "source": [
-        "env = rld.make(\"rldurham/Walker\", render_mode=\"rgb_array\")\n# env = rld.make(\"rldurham/Walker\", render_mode=\"rgb_array\", hardcore=True) # only attempt this when your agent has solved WalkerEasy\n\n# get statistics, logs, and videos\nenv = rld.Recorder(\n    env,\n    smoothing=10,                       # track rolling averages (useful for plotting)\n    video=True,                         # enable recording videos\n    video_folder=\"videos\",              # folder for videos\n    video_prefix=\"xxxx00-agent-video\",  # prefix for videos (replace xxxx00 with your username)\n    logs=True,                          # keep logs\n)\n\n# training on CPU recommended\nrld.check_device()\n\n# environment info\ndiscrete_act, discrete_obs, act_dim, obs_dim = rld.env_info(env, print_out=True)\n\n# render start image\nenv.reset(seed=42)\nrld.render(env)"
+        "env = rld.make(\"rldurham/Walker\", render_mode=\"rgb_array\")\n# env = rld.make(\"rldurham/Walker\", render_mode=\"rgb_array\", hardcore=True) # only attempt this when your agent has solved the non-hardcore version\n\n# get statistics, logs, and videos\nenv = rld.Recorder(\n    env,\n    smoothing=10,                       # track rolling averages (useful for plotting)\n    video=True,                         # enable recording videos\n    video_folder=\"videos\",              # folder for videos\n    video_prefix=\"xxxx00-agent-video\",  # prefix for videos (replace xxxx00 with your username)\n    logs=True,                          # keep logs\n)\n\n# training on CPU recommended\nrld.check_device()\n\n# environment info\ndiscrete_act, discrete_obs, act_dim, obs_dim = rld.env_info(env, print_out=True)\n\n# render start image\nenv.reset(seed=42)\nrld.render(env)"
       ]
     },
     {

diff --git a/_downloads/13b21f3c8642c194cb8dda9e06e91bf0/Coursework_Template.zip b/_downloads/13b21f3c8642c194cb8dda9e06e91bf0/Coursework_Template.zip
diff --git a/_downloads/2937269fcac6caa3e1e811a84beb9ca7/Practical_2_Multi-Armed_Bandits.zip b/_downloads/2937269fcac6caa3e1e811a84beb9ca7/Practical_2_Multi-Armed_Bandits.zip
diff --git a/_downloads/4986d0acbe56329fb4fc328da27b949a/Practical_3_Markov_Decision_Processes.zip b/_downloads/4986d0acbe56329fb4fc328da27b949a/Practical_3_Markov_Decision_Processes.zip
diff --git a/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip b/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip
diff --git a/_downloads/76c6bc5123ddcaf25de0c73d6996ce14/Lecture_2_Gym.zip b/_downloads/76c6bc5123ddcaf25de0c73d6996ce14/Lecture_2_Gym.zip
diff --git a/_downloads/805b9f38a7c295615a7076de9b2bf145/Practical_4_Dynamic_Programming.zip b/_downloads/805b9f38a7c295615a7076de9b2bf145/Practical_4_Dynamic_Programming.zip
diff --git a/_downloads/d02344b65e2aab5876dc80a92b67685c/Lecture_4_Dynamic_Programming.zip b/_downloads/d02344b65e2aab5876dc80a92b67685c/Lecture_4_Dynamic_Programming.zip
diff --git a/_downloads/d28530d240daf6b6c64c084dc148da37/rldurham_basics.zip b/_downloads/d28530d240daf6b6c64c084dc148da37/rldurham_basics.zip
diff --git a/_images/sphx_glr_Coursework_Template_002.png b/_images/sphx_glr_Coursework_Template_002.png
diff --git a/_images/sphx_glr_Coursework_Template_003.png b/_images/sphx_glr_Coursework_Template_003.png
diff --git a/_images/sphx_glr_Coursework_Template_004.png b/_images/sphx_glr_Coursework_Template_004.png
diff --git a/_images/sphx_glr_Coursework_Template_005.png b/_images/sphx_glr_Coursework_Template_005.png
diff --git a/_images/sphx_glr_Coursework_Template_006.png b/_images/sphx_glr_Coursework_Template_006.png
diff --git a/_images/sphx_glr_Coursework_Template_007.png b/_images/sphx_glr_Coursework_Template_007.png
diff --git a/_images/sphx_glr_Coursework_Template_008.png b/_images/sphx_glr_Coursework_Template_008.png
diff --git a/_images/sphx_glr_Coursework_Template_009.png b/_images/sphx_glr_Coursework_Template_009.png
diff --git a/_images/sphx_glr_Coursework_Template_010.png b/_images/sphx_glr_Coursework_Template_010.png
diff --git a/_images/sphx_glr_Coursework_Template_011.png b/_images/sphx_glr_Coursework_Template_011.png
diff --git a/_images/sphx_glr_Lecture_2_Gym_012.png b/_images/sphx_glr_Lecture_2_Gym_012.png
diff --git a/_modules/rldurham.html b/_modules/rldurham.html
@@ -268,7 +268,7 @@ <h1>Source code for rldurham</h1><div class="highlight"><pre>
 <a class="viewcode-back" href="../_autosummary/rldurham.RLDurhamEnv.html#rldurham.RLDurhamEnv.step">[docs]</a>
     <span class="k">def</span> <span class="nf">step</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">action</span><span class="p">):</span>
         <span class="n">obs</span><span class="p">,</span> <span class="n">reward</span><span class="p">,</span> <span class="n">terminated</span><span class="p">,</span> <span class="n">truncated</span><span class="p">,</span> <span class="n">info</span> <span class="o">=</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">step</span><span class="p">(</span><span class="n">action</span><span class="p">)</span>
-        <span class="bp">self</span><span class="o">.</span><span class="n">_unscaled_reward</span> <span class="o">=</span> <span class="n">reward</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_unscaled_reward</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="n">reward</span><span class="p">)</span>  <span class="c1"># convert to float in case it is tensor/array</span>
         <span class="k">return</span> <span class="n">obs</span><span class="p">,</span> <span class="n">reward</span><span class="p">,</span> <span class="n">terminated</span><span class="p">,</span> <span class="n">truncated</span><span class="p">,</span> <span class="n">info</span></div>
 </div>
 
@@ -381,10 +381,10 @@ <h1>Source code for rldurham</h1><div class="highlight"><pre>
 
         <span class="c1"># episode stats</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_episode_count</span> <span class="o">=</span> <span class="mi">0</span>
-        <span class="bp">self</span><span class="o">.</span><span class="n">_episode_reward_sum</span> <span class="o">=</span> <span class="mi">0</span>
-        <span class="bp">self</span><span class="o">.</span><span class="n">_episode_reward_sum_unscaled</span> <span class="o">=</span> <span class="mi">0</span>
-        <span class="bp">self</span><span class="o">.</span><span class="n">_episode_squared_reward_sum</span> <span class="o">=</span> <span class="mi">0</span>
-        <span class="bp">self</span><span class="o">.</span><span class="n">_episode_squared_reward_sum_unscaled</span> <span class="o">=</span> <span class="mi">0</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_episode_reward_sum</span> <span class="o">=</span> <span class="mf">0.</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_episode_reward_sum_unscaled</span> <span class="o">=</span> <span class="mf">0.</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_episode_squared_reward_sum</span> <span class="o">=</span> <span class="mf">0.</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_episode_squared_reward_sum_unscaled</span> <span class="o">=</span> <span class="mf">0.</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_episode_length</span> <span class="o">=</span> <span class="mi">0</span>
         <span class="c1"># logging statistics</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_episode_count_log</span> <span class="o">=</span> <span class="p">[]</span>
@@ -417,6 +417,7 @@ <h1>Source code for rldurham</h1><div class="highlight"><pre>
         <span class="bp">self</span><span class="o">.</span><span class="n">_episode_started</span> <span class="o">=</span> <span class="kc">True</span>
         <span class="n">obs</span><span class="p">,</span> <span class="n">reward</span><span class="p">,</span> <span class="n">terminated</span><span class="p">,</span> <span class="n">truncated</span><span class="p">,</span> <span class="n">info</span> <span class="o">=</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">step</span><span class="p">(</span><span class="n">action</span><span class="p">)</span>
 
+        <span class="n">reward</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="n">reward</span><span class="p">)</span>  <span class="c1"># convert to float in case it is tensor/array</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_episode_reward_sum</span> <span class="o">+=</span> <span class="n">reward</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_episode_reward_sum_unscaled</span> <span class="o">+=</span> <span class="n">getwrappedattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="s2">&quot;_unscaled_reward&quot;</span><span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_episode_squared_reward_sum</span> <span class="o">+=</span> <span class="n">reward</span> <span class="o">**</span> <span class="mi">2</span>

diff --git a/_sources/auto_examples/Coursework_Template.rst.txt b/_sources/auto_examples/Coursework_Template.rst.txt
@@ -128,7 +128,7 @@ Prepare the environment and wrap it to capture statistics, logs, and videos
 
 
     env = rld.make("rldurham/Walker", render_mode="rgb_array")
-    # env = rld.make("rldurham/Walker", render_mode="rgb_array", hardcore=True) # only attempt this when your agent has solved WalkerEasy
+    # env = rld.make("rldurham/Walker", render_mode="rgb_array", hardcore=True) # only attempt this when your agent has solved the non-hardcore version
 
     # get statistics, logs, and videos
     env = rld.Recorder(
@@ -364,7 +364,7 @@ Prepare the environment and wrap it to capture statistics, logs, and videos
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (1 minutes 14.750 seconds)
+   **Total running time of the script:** (1 minutes 14.565 seconds)
 
 
 .. _sphx_glr_download_auto_examples_Coursework_Template.py:

diff --git a/_sources/auto_examples/Lecture_2_Gym.rst.txt b/_sources/auto_examples/Lecture_2_Gym.rst.txt
@@ -453,7 +453,7 @@ Different environments
 
  .. code-block:: none
 
-                                                                                                                                
+                                                                                                                                                        
 
 
 
@@ -727,7 +727,7 @@ Training an agent
 
  .. code-block:: none
 
-                                                                                                                                                                    /home/runner/work/rldurham/rldurham/rldurham/__init__.py:414: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
+                                                                                                                                                                    /home/runner/work/rldurham/rldurham/rldurham/__init__.py:415: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
       fig, ax = plt.subplots(1, 1)
         
 
@@ -891,16 +891,16 @@ Custom environments (here: multi-armed bandits)
 
  .. code-block:: none
 
-    5 -25
-    4 -25
-    1 -24.9
+    3 -25
+    5 45
+    4 -19
     5 45
+    0 -25
     3 -25
     4 -25
-    1 -25
+    3 -25
+    3 -25
     2 -25
-    4 -25
-    1 -25
 
 
 
@@ -1282,7 +1282,7 @@ Custom environments (here: multi-armed bandits)
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 7.234 seconds)
+   **Total running time of the script:** (0 minutes 6.948 seconds)
 
 
 .. _sphx_glr_download_auto_examples_Lecture_2_Gym.py:

diff --git a/_sources/auto_examples/Lecture_4_Dynamic_Programming.rst.txt b/_sources/auto_examples/Lecture_4_Dynamic_Programming.rst.txt
@@ -958,7 +958,7 @@ Policy evaluation
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 8.602 seconds)
+   **Total running time of the script:** (0 minutes 9.071 seconds)
 
 
 .. _sphx_glr_download_auto_examples_Lecture_4_Dynamic_Programming.py:

diff --git a/_sources/auto_examples/Practical_3_Markov_Decision_Processes.rst.txt b/_sources/auto_examples/Practical_3_Markov_Decision_Processes.rst.txt
@@ -125,7 +125,7 @@ Practical 3: Markov Decision Processes
  .. code-block:: none
 
 
-    [<matplotlib.lines.Line2D object at 0x7f8a0d1a0b90>, <matplotlib.lines.Line2D object at 0x7f8a0d1a1ac0>, <matplotlib.lines.Line2D object at 0x7f8a0d1a1b80>, <matplotlib.lines.Line2D object at 0x7f8a0d1a1f70>, <matplotlib.lines.Line2D object at 0x7f8a0d1a2030>, <matplotlib.lines.Line2D object at 0x7f8a0d1a1e50>, <matplotlib.lines.Line2D object at 0x7f8a0d1a21e0>, <matplotlib.lines.Line2D object at 0x7f8a0d1a2060>, <matplotlib.lines.Line2D object at 0x7f8a0d1a2300>, <matplotlib.lines.Line2D object at 0x7f8a0d1a24b0>]
+    [<matplotlib.lines.Line2D object at 0x7fc1360f2150>, <matplotlib.lines.Line2D object at 0x7fc1360f1ee0>, <matplotlib.lines.Line2D object at 0x7fc1360f2060>, <matplotlib.lines.Line2D object at 0x7fc1360f1f10>, <matplotlib.lines.Line2D object at 0x7fc1360f25a0>, <matplotlib.lines.Line2D object at 0x7fc1360f2540>, <matplotlib.lines.Line2D object at 0x7fc1360f2420>, <matplotlib.lines.Line2D object at 0x7fc1360f28d0>, <matplotlib.lines.Line2D object at 0x7fc1360f2720>, <matplotlib.lines.Line2D object at 0x7fc1360f2a20>]
 
 
 
@@ -158,7 +158,7 @@ Practical 3: Markov Decision Processes
  .. code-block:: none
 
 
-    <matplotlib.legend.Legend object at 0x7f8a0d2efaa0>
+    <matplotlib.legend.Legend object at 0x7fc136048ef0>
 
 
 
@@ -238,7 +238,7 @@ Practical 3: Markov Decision Processes
  .. code-block:: none
 
 
-    [<matplotlib.lines.Line2D object at 0x7f8a0ce1caa0>]
+    [<matplotlib.lines.Line2D object at 0x7fc13607ddc0>]
 
 
 
@@ -491,7 +491,7 @@ Practical 3: Markov Decision Processes
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 2.140 seconds)
+   **Total running time of the script:** (0 minutes 2.113 seconds)
 
 
 .. _sphx_glr_download_auto_examples_Practical_3_Markov_Decision_Processes.py:

diff --git a/_sources/auto_examples/Practical_4_Dynamic_Programming.rst.txt b/_sources/auto_examples/Practical_4_Dynamic_Programming.rst.txt
@@ -394,7 +394,7 @@ Practical 4: DynamicProgramming
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 1.552 seconds)
+   **Total running time of the script:** (0 minutes 1.622 seconds)
 
 
 .. _sphx_glr_download_auto_examples_Practical_4_Dynamic_Programming.py:

diff --git a/_sources/auto_examples/rldurham_basics.rst.txt b/_sources/auto_examples/rldurham_basics.rst.txt
@@ -385,7 +385,7 @@ Render the environment with matplotlib (essentially a single video frame; requir
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 1.206 seconds)
+   **Total running time of the script:** (0 minutes 1.229 seconds)
 
 
 .. _sphx_glr_download_auto_examples_rldurham_basics.py:

diff --git a/_sources/auto_examples/sg_execution_times.rst.txt b/_sources/auto_examples/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**01:35.509** total execution time for 7 files **from auto_examples**:
+**01:35.572** total execution time for 7 files **from auto_examples**:
 
 .. container::
 
@@ -33,22 +33,22 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_auto_examples_Coursework_Template.py` (``Coursework_Template.py``)
-     - 01:14.750
+     - 01:14.565
      - 0.0
    * - :ref:`sphx_glr_auto_examples_Lecture_4_Dynamic_Programming.py` (``Lecture_4_Dynamic_Programming.py``)
-     - 00:08.602
+     - 00:09.071
      - 0.0
    * - :ref:`sphx_glr_auto_examples_Lecture_2_Gym.py` (``Lecture_2_Gym.py``)
-     - 00:07.234
+     - 00:06.948
      - 0.0
    * - :ref:`sphx_glr_auto_examples_Practical_3_Markov_Decision_Processes.py` (``Practical_3_Markov_Decision_Processes.py``)
-     - 00:02.140
+     - 00:02.113
      - 0.0
    * - :ref:`sphx_glr_auto_examples_Practical_4_Dynamic_Programming.py` (``Practical_4_Dynamic_Programming.py``)
-     - 00:01.552
+     - 00:01.622
      - 0.0
    * - :ref:`sphx_glr_auto_examples_rldurham_basics.py` (``rldurham_basics.py``)
-     - 00:01.206
+     - 00:01.229
      - 0.0
    * - :ref:`sphx_glr_auto_examples_Practical_2_Multi-Armed_Bandits.py` (``Practical_2_Multi-Armed_Bandits.py``)
      - 00:00.024

diff --git a/_sources/sg_execution_times.rst.txt b/_sources/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**01:35.509** total execution time for 7 files **from all galleries**:
+**01:35.572** total execution time for 7 files **from all galleries**:
 
 .. container::
 
@@ -33,22 +33,22 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_auto_examples_Coursework_Template.py` (``../examples/Coursework_Template.py``)
-     - 01:14.750
+     - 01:14.565
      - 0.0
    * - :ref:`sphx_glr_auto_examples_Lecture_4_Dynamic_Programming.py` (``../examples/Lecture_4_Dynamic_Programming.py``)
-     - 00:08.602
+     - 00:09.071
      - 0.0
    * - :ref:`sphx_glr_auto_examples_Lecture_2_Gym.py` (``../examples/Lecture_2_Gym.py``)
-     - 00:07.234
+     - 00:06.948
      - 0.0
    * - :ref:`sphx_glr_auto_examples_Practical_3_Markov_Decision_Processes.py` (``../examples/Practical_3_Markov_Decision_Processes.py``)
-     - 00:02.140
+     - 00:02.113
      - 0.0
    * - :ref:`sphx_glr_auto_examples_Practical_4_Dynamic_Programming.py` (``../examples/Practical_4_Dynamic_Programming.py``)
-     - 00:01.552
+     - 00:01.622
      - 0.0
    * - :ref:`sphx_glr_auto_examples_rldurham_basics.py` (``../examples/rldurham_basics.py``)
-     - 00:01.206
+     - 00:01.229
      - 0.0
    * - :ref:`sphx_glr_auto_examples_Practical_2_Multi-Armed_Bandits.py` (``../examples/Practical_2_Multi-Armed_Bandits.py``)
      - 00:00.024

diff --git a/auto_examples/Coursework_Template.html b/auto_examples/Coursework_Template.html
@@ -134,7 +134,7 @@ <h2>Reinforcement learning agent<a class="headerlink" href="#reinforcement-learn
 <section id="prepare-the-environment-and-wrap-it-to-capture-statistics-logs-and-videos">
 <h2>Prepare the environment and wrap it to capture statistics, logs, and videos<a class="headerlink" href="#prepare-the-environment-and-wrap-it-to-capture-statistics-logs-and-videos" title="Link to this heading"></a></h2>
 <div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="n">env</span> <span class="o">=</span> <span class="n">rld</span><span class="o">.</span><span class="n">make</span><span class="p">(</span><span class="s2">&quot;rldurham/Walker&quot;</span><span class="p">,</span> <span class="n">render_mode</span><span class="o">=</span><span class="s2">&quot;rgb_array&quot;</span><span class="p">)</span>
-<span class="c1"># env = rld.make(&quot;rldurham/Walker&quot;, render_mode=&quot;rgb_array&quot;, hardcore=True) # only attempt this when your agent has solved WalkerEasy</span>
+<span class="c1"># env = rld.make(&quot;rldurham/Walker&quot;, render_mode=&quot;rgb_array&quot;, hardcore=True) # only attempt this when your agent has solved the non-hardcore version</span>
 
 <span class="c1"># get statistics, logs, and videos</span>
 <span class="n">env</span> <span class="o">=</span> <span class="n">rld</span><span class="o">.</span><span class="n">Recorder</span><span class="p">(</span>
@@ -264,7 +264,7 @@ <h2>Prepare the environment and wrap it to capture statistics, logs, and videos<
 <span class="n">env</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (1 minutes 14.750 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (1 minutes 14.565 seconds)</p>
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