Keyphrases
- reinforcement learning
- markov decision processes
- optimal policy
- state space
- function approximation
- reinforcement learning algorithms
- model free
- control problems
- partially observable
- machine learning
- policy iteration
- temporal difference
- policy search
- action sets
- markov decision process
- optimal control
- reinforcement learning methods
- policy evaluation
- model based reinforcement learning
- markov decision problems
- factored markov decision processes
- finite state
- learning algorithm
- supervised learning
- state abstraction
- dynamic programming
- factored mdps
- state and action spaces
- multi agent
- continuous state and action spaces
- reward function
- finite horizon
- temporal difference learning
- sufficient conditions
- continuous state
- search space