Keywords

#multi-agent_reinforcement_learning

Multi-agent reinforcement learning

Sub-field of reinforcement learning

Multi-agent reinforcement learning (MARL) is a sub-field of reinforcement learning. It focuses on studying the behavior of multiple learning agents that coexist in a shared environment. Each agent is motivated by its own rewards, and does actions to advance its own interests; in some environments these interests are opposed to the interests of other agents, resulting in complex group dynamics.

Tue 23rd

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Multi-agent reinforcement learning Deep reinforcement learning Multi-agent system Reinforcement learning Self-play Q-learning Multi-objective reinforcement learning Reinforcement learning from human feedback Agent-based model Software agent
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