Learning in Constrained Markov Decision Processes.
Rahul SinghAbhishek GuptaNess B. ShroffPublished in: IEEE Trans. Control. Netw. Syst. (2023)
Keyphrases
- markov decision processes
- reinforcement learning
- model based reinforcement learning
- stochastic games
- dynamic programming
- finite state
- partially observable
- decision theoretic planning
- state space
- learning tasks
- policy iteration
- real time dynamic programming
- machine learning
- planning under uncertainty
- optimal policy
- learning algorithm
- factored mdps