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20112023
most citedHuman-level performance in first-person multiplayer games with population-based deep reinforcement learning

693 citations · 1.1k across the 15 of their papers we have counts for

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2 papers · 1 filter

cs.RO2023★ 166 cited

Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning

Tuomas Haarnoja, Ben Moran, Guy Lever +25

We investigate whether Deep Reinforcement Learning (Deep RL) is able to synthesize sophisticated and safe movement skills for a low-cost, miniature humanoid robot that can be compo…

cs.GT2023

Generative Adversarial Equilibrium Solvers

Denizalp Goktas, David C. Parkes, Ian Gemp +5

We introduce the use of generative adversarial learning to compute equilibria in general game-theoretic settings, specifically the generalized Nash equilibrium (GNE) in pseudo-game…