ASP+POMDP: Integrating non-monotonic logic programming and probabilistic planning on robots.
Shiqi ZhangMohan SridharanForrest Sheng BaoPublished in: ICDL-EPIROB (2012)
Keyphrases
- probabilistic planning
- planning under uncertainty
- partially observable
- planning problems
- markov decision process
- markov decision processes
- heuristic search
- partially observable markov decision processes
- reinforcement learning
- infinite horizon
- answer set programming
- markov decision problems
- state space
- dynamical systems
- decision theoretic planning
- domain independent
- optimal policy
- finite state
- decision problems
- ai planning
- continuous state
- belief state
- learning algorithm
- machine learning
- multi agent
- decision theoretic
- domain specific
- dynamic programming