Symbolic Dynamic Programming for Continuous State and Action MDPs.
Zahra ZamaniScott SannerCheng FangPublished in: AAAI (2012)
Keyphrases
- continuous state
- action space
- markov decision processes
- dynamic programming
- dec pomdps
- state space
- continuous action
- policy search
- reinforcement learning
- state action
- markov decision problems
- finite state
- continuous state and action spaces
- partially observable markov decision processes
- robot navigation
- optimal policy
- control policies
- real valued
- continuous state spaces
- state dependent
- linear programming
- planning problems
- partially observable
- reinforcement learning algorithms
- infinite horizon
- finite horizon
- stochastic processes
- state transition
- evaluation function
- heuristic search
- markov decision process
- average cost
- average reward
- action selection
- function approximation
- search algorithm
- multi agent
- policy iteration
- hidden state