Expert-Guided Symmetry Detection in Markov Decision Processes.
Giorgio AngelottiNicolas DrougardCaroline P. C. ChanelPublished in: CoRR (2021)
Keyphrases
- markov decision processes
- symmetry detection
- finite state
- state space
- optimal policy
- reinforcement learning
- reachability analysis
- policy iteration
- dynamic programming
- transition matrices
- decision theoretic planning
- planning under uncertainty
- infinite horizon
- factored mdps
- average reward
- action space
- partially observable
- rotational symmetry
- decision processes
- markov decision process
- average cost
- risk sensitive
- reinforcement learning algorithms
- model based reinforcement learning
- finite horizon
- action sets
- reward function
- data mining
- monte carlo
- function approximation