Model-Based Reinforcement Learning with Continuous States and Actions.
Marc Peter DeisenrothCarl Edward RasmussenJan PetersPublished in: ESANN (2008)
Keyphrases
- model based reinforcement learning
- markov decision processes
- action space
- markov decision problems
- state transitions
- initial state
- partially observable
- state space
- optimal policy
- reinforcement learning
- state transition
- decision theoretic
- finite state
- situation calculus
- infinite horizon
- dynamic programming
- belief state
- policy iteration
- graphical models
- search space