Partially Observable Multi-agent RL with (Quasi-)Efficiency: The Blessing of Information Sharing.
Xiangyu LiuKaiqing ZhangPublished in: ICML (2023)
Keyphrases
- information sharing
- partially observable
- reinforcement learning
- multi agent
- markov decision processes
- partially observable domains
- state space
- partial observability
- function approximation
- share information
- markov decision problems
- decision problems
- emergency response
- government agencies
- dynamical systems
- data sharing
- partially observable environments
- reward function
- partial observations
- partially observable markov decision processes
- learning algorithm
- computational complexity
- belief state
- infinite horizon
- optimal control
- transfer learning
- secure information sharing
- action models
- fully observable
- bayesian networks
- policy iteration
- dynamic programming
- inter organizational
- optimal policy
- reinforcement learning algorithms
- law enforcement
- social awareness
- temporal difference
- partially observable markov decision process
- sharing information
- action space
- markov decision process
- model free
- multiagent systems
- social networks