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1. Dynamic Programming (Update : 13. 2. 2019)
- Conditional GAN
- Policy Iteration & Value Iteration
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2. Value Based Methods (Update : 17. 2. 2019)
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3. Policy Based Methods (Update : 23. 2. 2019)
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4. Off-policy Policy Based Methods (Update : 10. 3. 2019)
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5. Exploration Techniques (Update : 16. 3. 2019)
Breakout with only intrinsic rewards
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6. Uncertainty in RL (Update : 24. 3. 2019)
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7. Imitation Learning (Update : 30. 3. 2019)
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8. Multi-Agent RL (Update : 4. 4. 2019)
supsucc / deep_rl_with_pytorch Goto Github PK
View Code? Open in Web Editor NEWThis project forked from sungyubkim/deep_rl_with_pytorch
A pytorch tutorial for DRL(Deep Reinforcement Learning)