Reinforcement_Learning:RL代码存储库
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2021-04-01
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Reinforcement_Learning-main.zip （70个子文件） 
Reinforcement_Learning-main books 
Deep Learning with PyTorch.pdf 43.98MB Grokking Deep Reinforcement Learning.pdf 17.33MB notebooks reinforce 
REINFORCE.ipynb 42KB hill_climbing Hill_Climbing.ipynb 28KB td plot_utils.py 547B check_test.py 1KB Temporal_Difference.ipynb 258KB dqn dqn_agent.py 6KB model.py 1015B Deep_Q_Network.ipynb 66KB checkpoint.pth 22KB cem checkpoint.pth 2KB Cross_Entroph_Method.ipynb 49KB tile Tile_Coding.ipynb 207KB mc plot_utils.py 2KB Monte_Carlo.ipynb 569KB discretization Discretization.ipynb 386KB unity_envs Continuos Control Crawl 
Crawler_Linux_NoVis.zip 47.04MB Crawler.app.zip 24.89MB Crawler_Windows_x86_64.zip 22.17MB Crawler_Linux.zip 48.58MB Crawler_Windows_x86.zip 19.7MB Twenty (20) Agents Reacher_Linux_NoVis.zip 43.17MB Reacher_Windows_x86.zip 15.71MB Reacher_Linux.zip 44.71MB Reacher.app.zip 20.95MB Reacher_Windows_x86_64.zip 18.18MB One (1) Agent Reacher_Linux_NoVis.zip 43.16MB Reacher_Windows_x86.zip 15.7MB Reacher_Linux.zip 44.7MB Reacher.app.zip 20.94MB Reacher_Windows_x86_64.zip 18.17MB Navigation Pixel VisualBanana_Windows_x86.zip 17.58MB VisualBanana_Windows_x86_64.zip 20.05MB VisualBanana_Linux.zip 46.4MB VisualBanana.app.zip 22.74MB Vector Banana_Windows_x86_64.zip 20.05MB Banana_Windows_x86.zip 17.58MB Banana_Linux_NoVis.zip 44.85MB Banana_Linux.zip 46.39MB Banana.app.zip 22.74MB Multi-Agent Tennis Tennis_Linux_NoVis.zip 43.06MB Tennis_Windows_x86.zip 15.63MB Tennis_Windows_x86_64.zip 18.09MB Tennis.app.zip 20.85MB Tennis_Linux.zip 44.6MB Soccer Soccer_Linux.zip 46.07MB Soccer_Windows_x86.zip 17MB Soccer_Windows_x86_64.zip 19.46MB Soccer.app.zip 22.25MB Soccer_Linux_NoVis.zip 44.53MB LICENSE 1KB README.md 2KB .gitignore 2KB articles Dueling Network Architectures for Deep Reinforcement Learning.pdf 672KB Rainbow Combining Improvements in Deep Reinforcement Learning.pdf 1.47MB Evolution Strategies as a Scalable Alternative to Reinforcement Learning.pdf 271KB Prioritized Experience Replay.pdf 1.61MB Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.pdf 622KB Dealing with Sparse Rewards in Reinforcement Learning.pdf 1.95MB Deep Reinforcement Learning with Double Q-learning.pdf 771KB Issues in Using Function Approximation for Reinforcement Learning.pdf 133KB Neural Fitted Q Iteration - First Experiences with a Data Efficient Neural Reinforcement Learning Method.pdf 371KB Q-Prop Sample-Efficient Policy Gradient with an Off-Policy Critic.pdf 831KB Human-level control through deep reinforcement learning.pdf 4.39MB Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments.pdf 1.31MB Learning to see and act.pdf 209KB Continuous Control with Deep Reinforcement Learning.pdf 648KB Proximal Policy Optimization Algorithms.pdf 2.79MB Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition.pdf 723KB
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