Comparative Criteria for Partially Observable Contingent Planning.
Dorin ShmaryahuJörg HoffmannGuy ShaniPublished in: AAMAS (2019)
Keyphrases
- partially observable
- decision problems
- state space
- partial observability
- dynamical systems
- reinforcement learning
- markov decision processes
- markov decision problems
- planning domains
- belief state
- infinite horizon
- partial observations
- action models
- belief space
- partially observable domains
- partially observable markov decision process
- reward function
- planning problems
- partially observable environments
- heuristic search
- optimal policy
- fully observable
- dynamic programming
- ai planning
- particle filtering
- partially observable markov decision processes
- model checking
- markov chain
- search space