Contingency Planning Using Bi-level Markov Decision Processes for Space Missions.
Somrita BanerjeeEdward BalabanMark ShirleyKevin BradnerMarco PavonePublished in: CoRR (2024)
Keyphrases
- markov decision processes
- bi level
- space missions
- macro actions
- planning under uncertainty
- decision theoretic planning
- partially observable
- state space
- gray scale
- optimal policy
- policy iteration
- finite state
- planning problems
- transition matrices
- reinforcement learning
- partially observable markov decision processes
- dynamic programming
- infinite horizon
- reachability analysis
- heuristic search
- reinforcement learning algorithms
- finite horizon
- action space
- probabilistic planning
- model based reinforcement learning
- markov decision problems
- markov decision process
- factored mdps
- decision theoretic
- average cost
- state and action spaces
- gray level
- ai planning
- partially observable markov decision process
- multi agent