Learning in Markov Decision Processes under Constraints.
Rahul SinghAbhishek GuptaNess B. ShroffPublished in: CoRR (2020)
Keyphrases
- markov decision processes
- reinforcement learning
- model based reinforcement learning
- learning algorithm
- state space
- finite state
- macro actions
- factored mdps
- decision theoretic planning
- partially observable
- optimal policy
- real time dynamic programming
- reinforcement learning algorithms
- data mining
- policy iteration
- real valued
- dynamic programming
- multi agent