A Kernel Perspective on Behavioural Metrics for Markov Decision Processes.
Pablo Samuel CastroTyler KastnerPrakash PanangadenMark RowlandPublished in: CoRR (2023)
Keyphrases
- lot sizing
- markov decision processes
- stationary policies
- optimal policy
- state space
- dynamic programming
- transition matrices
- policy iteration
- finite state
- decision theoretic planning
- reinforcement learning
- average reward
- kernel function
- partially observable
- average cost
- finite horizon
- reachability analysis
- kernel methods
- reinforcement learning algorithms
- model based reinforcement learning
- state and action spaces
- infinite horizon
- markov decision process
- decision processes
- planning under uncertainty
- interval estimation
- action space
- reproducing kernel hilbert space
- heuristic search
- support vector
- multi agent