Constrained Markov decision processes with uncertain transition probabilities.
V. VaragapriyaVikas Vikram SinghAbdel LisserPublished in: ECC (2024)
Keyphrases
- markov decision processes
- transition probabilities
- markov chain
- state space
- reward function
- finite state
- random walk
- markov decision process
- markov models
- transition matrices
- policy iteration
- optimal policy
- markov decision problems
- reinforcement learning
- dynamic programming
- infinite horizon
- partially observable
- average reward
- decision theoretic planning
- average cost
- action space
- decision processes
- link structure
- markov model
- fixed point
- hidden markov models
- objective function
- social networks
- stochastic shortest path