## Reinforcement learning - [ ] Theoretical bias - [ ] Planning and game trees Game tree approach to Pacman - [ ] Reinforcement learning, table-based Q-learning, Bellman equation. Stanford example with robot, pacman and gridworld. ## Deep Reinforcement learning - [ ] Approximate reinforcement learning. Deep reinforcement learning. Caveats and pitfalls Playing atari with deep reinforcement learning. - [ ] POMDP and recurrent RL. Kung Fu and PBS cases: comparing DQN from previous seminar with DRQN. - [ ] [Sparse & delayed rewards. Hierarchical RL. Model-based Vs model-free options]? [Regular VS Hierarchical RL in Montezuma Revenge-like games]
Reinforcement learning
Game tree approach to Pacman
Stanford example with robot, pacman and gridworld.
Deep Reinforcement learning
Playing atari with deep reinforcement learning.
Kung Fu and PBS cases: comparing DQN from previous seminar with DRQN.
[Regular VS Hierarchical RL in Montezuma Revenge-like games]