Scaling Up Decentralized MDPs Through Heuristic Search.
Jilles Steeve DibangoyeChristopher AmatoArnaud DoniecPublished in: UAI (2012)
Keyphrases
- heuristic search
- state space
- dec pomdps
- markov decision processes
- probabilistic planning
- dynamic programming
- multi agent
- reinforcement learning
- search space
- path finding
- planning problems
- infinite horizon
- optimal policy
- search algorithm
- single agent
- markov decision problems
- decision theoretic planning
- markov decision process
- ai planning
- average cost
- decision theoretic
- search strategies
- search problems
- bidirectional search
- orders of magnitude
- beam search
- planning under uncertainty
- finite state
- optimal planning
- reward function
- heuristic function
- partially observable
- partially observable markov decision processes
- dynamical systems
- state space search
- forward search
- admissible heuristics
- initial state
- automated planning
- long run
- evolutionary algorithm