Interactive POMDP Lite: Towards Practical Planning to Predict and Exploit Intentions for Interacting with Self-Interested Agents.
Trong Nghia HoangKian Hsiang LowPublished in: IJCAI (2013)
Keyphrases
- planning problems
- belief space
- partially observable
- state space
- reinforcement learning
- mixed initiative
- partially observable markov decision process
- partially observable markov decision processes
- partially observable stochastic domains
- stochastic domains
- finite state
- heuristic search
- computer graphics
- planning under uncertainty
- motion planning
- dynamical systems
- belief state
- planning systems
- partial observability
- real world
- incomplete information
- search space
- hands on guide
- hidden markov models
- continuous state
- markov decision problems
- optimal policy
- domain independent
- decision theoretic
- mental states
- game theory