Planning for Proactive Assistance in Environments with Partial Observability.
Anagha KulkarniSiddharth SrivastavaSubbarao KambhampatiPublished in: CoRR (2021)
Keyphrases
- partial observability
- planning problems
- symbolic model checking
- belief space
- multi agent planning
- partially observable
- planning under partial observability
- fully observable
- planning domains
- belief state
- partially observable markov decision processes
- dynamic environments
- heuristic search
- state space
- reinforcement learning
- partial information
- motion planning
- decision problems
- dynamical systems
- machine learning
- domain independent
- markov decision process
- planning systems
- optimal policy
- dynamic programming
- bayesian networks