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20182026
most citedGEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms

76 citations · 471 across the 29 of their papers we have counts for

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cs.AI2026

Discovering Adaptive Transmission Programs for Collective Innovation

Cédric Colas, Jérémy Perez, Eleni Nisioti +4

Human collective intelligence depends on transmission processes: who shares what with whom, how, and when. While these processes emerge from individual cognition, they can also be…

cs.LG2026

Goal-Conditioned Agents that Learn Everything All at Once

Michael Matthews, Matthew Jackson, Michael Beukman +5

A goal-conditioned reinforcement learning agent exploring an environment will see a wealth of information throughout a trajectory, most of which is discarded when only performing o…