13 citations · 31 across the 4 of their papers we have counts for
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cs.LG2026
Using Reward Uncertainty to Induce Diverse Behaviour in Reinforcement Learning
Anthony GX-Chen, Ankit Anand, Gheorghe Comanici +7
Classical reinforcement learning (RL) typically seeks a deterministic policy that maximizes the expected sum of a scalar reward. Yet, modern applications such as language model fin…
cs.LG2020★ 6 cited
Learning to cooperate: Emergent communication in multi-agent navigation
Ivana Kajić, Eser Aygün, Doina Precup
Emergent communication in artificial agents has been studied to understand language evolution, as well as to develop artificial systems that learn to communicate with humans. We sh…