Cooperative Exploration for Multi-Agent Deep Reinforcement Learning.
Iou-Jen LiuUnnat JainRaymond A. YehAlexander G. SchwingPublished in: CoRR (2021)
Keyphrases
- multi agent
- cooperative
- reinforcement learning
- exploration strategy
- action selection
- exploration exploitation
- multi agent systems
- single agent
- multi agent reinforcement learning
- model based reinforcement learning
- active exploration
- distributed problem solving
- intelligent agents
- function approximation
- reinforcement learning algorithms
- multi agent environments
- learning agents
- cooperating agents
- multiagent reinforcement learning
- learning algorithm
- model free
- multiple agents
- multiagent systems
- autonomous agents
- software agents
- cooperative agents
- state space
- temporal difference
- cooperative learning
- optimal policy
- agent oriented
- agent based simulations
- balancing exploration and exploitation
- autonomous learning
- interactive exploration
- game theory
- reinforcement learning methods
- action space
- dynamic programming
- active learning
- neural network
- exploration exploitation tradeoff