This is the code for paper "Correlation-aware Cooperative Multigroup Broadcast 360° Video Delivery Network: A Hierarchical Deep Reinforcement Learning Approach" For any usage, please cite this paper.
Directly run bash.sh
The Fig. 9 in this paper is plotted via the code in tsne.ipy file.
https://github.com/kuangliu/pytorch-cifar/blob/master/models/resnet.py
https://github.com/sweetice/Deep-reinforcement-learning-with-pytorch/blob/master/Char03%20Actor-Critic/AC_CartPole-v0.py
https://github.com/rlcode/reinforcement-learning/blob/master/3-atari/1-breakout/breakout_a3c.py
https://github.com/nikhilbarhate99/Hierarchical-Actor-Critic-HAC-PyTorch/blob/master/HAC.py
https://github.com/skumar9876/Hierarchical-DQN/blob/master/hierarchical_dqn.py
https://github.com/ifiaposto/Hierarchical-Deep-Reinforcement-Learning/blob/master/hdqn.py