Markov Decision Processes with Time-Varying Geometric Discounting.
Jiarui GanAnnika HennesRupak MajumdarDebmalya MandalGoran RadanovicPublished in: AAAI (2023)
Keyphrases
- markov decision processes
- finite state
- state space
- optimal policy
- policy iteration
- dynamic programming
- transition matrices
- reachability analysis
- reinforcement learning
- reinforcement learning algorithms
- decision processes
- planning under uncertainty
- finite horizon
- decision theoretic planning
- average cost
- average reward
- risk sensitive
- partially observable
- action space
- infinite horizon
- state and action spaces
- action sets
- model based reinforcement learning
- stochastic shortest path
- markov decision process
- partially observable markov decision processes
- factored mdps
- sufficient conditions