Interactive POMDP Lite: Towards Practical Planning to Predict and Exploit Intentions for Interacting with Self-Interested Agents
Trong Nghia HoangKian Hsiang LowPublished in: CoRR (2013)
Keyphrases
- planning problems
- belief space
- partially observable markov decision processes
- belief state
- mixed initiative
- partially observable
- partially observable markov decision process
- planning under uncertainty
- incomplete information
- game theory
- partially observable stochastic domains
- finite state
- ai planning
- user interaction
- planning process
- stochastic domains
- partial observability
- point based value iteration
- multi agent
- reinforcement learning
- blocks world
- planning systems
- markov decision problems
- markov decision process
- single agent
- hands on guide
- domain independent
- multi agent systems
- sequential decision making problems