Reinforcement learning

[justheuristic]

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]