Scalable Planning in Multi-Agent MDPs.
Dinuka SahabanduLuyao NiuAndrew ClarkRadha PoovendranPublished in: CDC (2021)
Keyphrases
- multi agent
- planning under uncertainty
- reinforcement learning
- markov decision processes
- stochastic domains
- planning problems
- state space
- dec pomdps
- probabilistic planning
- partially observable
- decision theoretic planning
- partially observable markov decision processes
- ai planning
- single agent
- multi agent planning
- factored markov decision processes
- cooperative
- decision theoretic
- reactive agents
- optimal policy
- dynamic programming
- markov decision problems
- sequential decision making problems
- heuristic search
- intelligent agents
- linear programming
- multi agent systems
- planning process
- factored mdps
- decision support
- action space
- planning systems
- agent oriented
- multiple agents
- multiagent systems