Cooperative Exploration for Multi-Agent Deep Reinforcement Learning.
Iou-Jen LiuUnnat JainRaymond A. YehAlexander G. SchwingPublished in: ICML (2021)
Keyphrases
- multi agent
- cooperative
- reinforcement learning
- exploration strategy
- action selection
- exploration exploitation
- multi agent systems
- active exploration
- multi agent reinforcement learning
- single agent
- multiagent reinforcement learning
- state space
- function approximation
- multiagent systems
- multi agent environments
- intelligent agents
- distributed problem solving
- learning agents
- model free
- cooperating agents
- autonomous learning
- deep learning
- balancing exploration and exploitation
- temporal difference
- machine learning
- learning algorithm
- game theory
- multiple agents
- coalition formation
- optimal control
- software agents
- active learning
- learning problems
- policy search
- transfer learning
- reinforcement learning agents
- cognitive agents
- agent oriented
- model based reinforcement learning
- neural network