Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous.
Rose E. WangJ. Chase KewDennis LeeTsang-Wei Edward LeeTingnan ZhangBrian IchterJie TanAleksandra FaustPublished in: CoRL (2020)
Keyphrases
- model based reinforcement learning
- multi agent
- markov decision processes
- reinforcement learning
- dec pomdps
- cooperative
- distributed constraint optimization
- markov decision problems
- partially observable markov decision processes
- dynamic programming
- multiagent systems
- multi agent systems
- multiple agents
- planning under uncertainty
- state space
- single agent
- finite state
- relational domains
- linear programming
- infinite horizon
- optimal policy