Reinforcement Learning in Robust Markov Decision Processes.
Shiau Hong LimHuan XuShie MannorPublished in: NIPS (2013)
Keyphrases
- markov decision processes
- reinforcement learning
- optimal policy
- state space
- reinforcement learning algorithms
- policy iteration
- finite state
- partially observable
- state and action spaces
- dynamic programming
- planning under uncertainty
- finite horizon
- decision theoretic planning
- risk sensitive
- action space
- factored mdps
- average reward
- model based reinforcement learning
- transition matrices
- infinite horizon
- action sets
- average cost
- markov decision process
- model free
- control problems
- state abstraction
- multi agent
- reachability analysis
- function approximation
- stochastic games
- real valued
- probabilistic planning
- decision processes
- temporal difference
- semi markov decision processes
- policy iteration algorithm
- decentralized control
- policy evaluation
- markov decision problems
- learning algorithm
- reward function
- evaluation function
- decision problems