A Cognitively Inspired POMDP Planning Technique.
Mike HowardAlejandro NijamkinPublished in: IC-AI (2010)
Keyphrases
- belief space
- planning problems
- partially observable markov decision processes
- partially observable
- partially observable markov decision process
- reinforcement learning
- belief state
- state space
- stochastic domains
- heuristic search
- finite state
- partially observable stochastic domains
- predictive state representations
- markov decision problems
- planning under uncertainty
- markov decision processes
- ai planning
- motion planning
- partially observable stochastic games
- blocks world
- markov chain
- partial observability
- dynamic environments
- domain independent
- multi agent
- sequential decision making problems
- point based value iteration
- decision support
- dec pomdps
- continuous state
- action selection
- dynamical systems
- plan generation
- planning process
- decision problems
- path finding
- decision theoretic