Counterfactual Influence in Markov Decision Processes.
Milad KazemiJessica LallyEkaterina TishchenkoHana ChocklerNicola PaolettiPublished in: CoRR (2024)
Keyphrases
- markov decision processes
- optimal policy
- state space
- finite state
- reinforcement learning
- policy iteration
- decision theoretic planning
- dynamic programming
- transition matrices
- reachability analysis
- infinite horizon
- reinforcement learning algorithms
- markov decision process
- average reward
- reward function
- factored mdps
- decision processes
- finite horizon
- action space
- planning under uncertainty
- average cost
- model based reinforcement learning
- partially observable
- real valued
- partially observable markov decision processes
- multi agent
- state and action spaces
- action sets
- discounted reward
- machine learning