Scalable Anytime Planning for Multi-Agent MDPs.
Shushman ChoudhuryJayesh K. GuptaPeter MoralesMykel J. KochenderferPublished in: AAMAS (2021)
Keyphrases
- multi agent
- planning under uncertainty
- reinforcement learning
- stochastic domains
- markov decision processes
- probabilistic planning
- planning problems
- sequential decision making problems
- markov decision problems
- single agent
- multi agent systems
- factored mdps
- ai planning
- partially observable markov decision processes
- partially observable
- dec pomdps
- decision theoretic planning
- reactive agents
- state space
- factored markov decision processes
- decision theoretic
- coalition formation
- policy iteration
- cooperative
- multi agent planning
- heuristic search
- multiagent systems
- team formation
- intelligent agents
- optimal policy
- anytime algorithms
- action selection
- blocks world
- planning process
- finite horizon
- planning domains