activity
20132026
most citedHuman-level performance in first-person multiplayer games with population-based deep reinforcement learning

693 citations · 3.6k across the 81 of their papers we have counts for

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Showing 2018 · cs.AIShow all

2 papers · 2 filters

cs.AI2018★ 43 cited

Emergent Communication through Negotiation

Kris Cao, Angeliki Lazaridou, Marc Lanctot +3

Multi-agent reinforcement learning offers a way to study how communication could emerge in communities of agents needing to solve specific problems. In this paper, we study the eme…

cs.AI2018★ 58 cited

Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents

Joel Z. Leibo, Cyprien de Masson d'Autume, Daniel Zoran +10

Psychlab is a simulated psychology laboratory inside the first-person 3D game world of DeepMind Lab (Beattie et al. 2016). Psychlab enables implementations of classical laboratory…