220 citations · 281 across the 3 of their papers we have counts for
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cs.AI2022★ 3 cited
Curiosity-Driven Multi-Agent Exploration with Mixed Objectives
Roben Delos Reyes, Kyunghwan Son, Jinhwan Jung +2
Intrinsic rewards have been increasingly used to mitigate the sparse reward problem in single-agent reinforcement learning. These intrinsic rewards encourage the agent to look for…
cs.AI2019★ 58 cited
Learning to Schedule Communication in Multi-agent Reinforcement Learning
Daewoo Kim, Sangwoo Moon, David Hostallero +4
Many real-world reinforcement learning tasks require multiple agents to make sequential decisions under the agents' interaction, where well-coordinated actions among the agents are…