Constrained Markov Decision Processes for Intelligent Traffic.
Tripty SinghPublished in: ICCCNT (2019)
Keyphrases
- markov decision processes
- state space
- finite state
- optimal policy
- policy iteration
- reinforcement learning
- transition matrices
- dynamic programming
- planning under uncertainty
- average cost
- model based reinforcement learning
- reachability analysis
- average reward
- decision theoretic planning
- reinforcement learning algorithms
- decision processes
- finite horizon
- action sets
- risk sensitive
- action space
- multi agent
- factored mdps
- decision making
- lot sizing
- state and action spaces
- markov decision process