Adaptive Exploration and Curriculum Learning for Multi-Agent Reinforcement Learning
Multi-agent Reinforcement learning has gained significant attention for solving decision-making problems involving multiple autonomous agents. However, effective learning in MARL is still difficult due to environments, dependencies between agents, and poor exploration strategies. Although adaptive exploration and curri...