Reinforcement Learning tutorial by pytorch
Implemented algorithms:
- Deep Q-Learning (DQN)
- Double DQN
- Dueling DQN
- Policy Gradient
Max step : 1000
DQN
Playing :
Double DQN
Playing :
Dueling DQN
Playing :
Policy Gradient
More stable, Faster(not needed replay memory), more simple(not needed customizing policy)
Playing :
