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심층강화학습
심층강화학습 (Deep Reinforcement Learnings)
Markov Decision Process
1. 순차적 의사 결정 문제, 에이전트, 환경
2. Markov Decision Process (MDP)
3. 정책, Return, 가치 함수
4. 벨만 방정식: 가치 함수의 재귀적 성질
5. 가치 함수 근사하기: Stochastic approximation
Policy gradient methods
6. Policy Gradient Theorem
7. REINFORCE
8. REINFORCE 구현
9. REINFORCE with baseline
10. Actor-critic 알고리즘
11. Online/batch actor-critic 구현
12.
\(n\)
-step return actor-critic
13. Generalized Advantage Estimation (GAE)
14. Trust Region Policy Optimization (TRPO)
15. TRPO 구현
16. Proximal Policy Optimization (PPO)
17. PPO 구현
18. Soft Actor-Critic (SAC)
19. SAC 구현
Advanced topics
20. Unsupervised RL
참고문헌
참고문헌
repository
open issue
Index
