← authors · overview

• Modeling Others using Oneself in Multi-Agent Reinforcement Learning
  2018 · 68 citations
• Automatic Data Augmentation for Generalization in Deep Reinforcement Learning
  2020 · 52 citations
• Learning with AMIGo: Adversarially Motivated Intrinsic Goals
  2020 · 48 citations
• The NetHack Learning Environment
  2020 · 40 citations
• RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments
  2020 · 38 citations
• Backplay: "Man muss immer umkehren"
  2018 · 25 citations
• Improving Intrinsic Exploration with Language Abstractions
  2022 · 16 citations
• Understanding the Effects of RLHF on LLM Generalisation and Diversity
  2023 · 14 citations
• Fast Adaptation via Policy-Dynamics Value Functions
  2020 · 9 citations
• Hyperparameters in Reinforcement Learning and How To Tune Them
  2023 · 9 citations
• Exploration via Elliptical Episodic Bonuses
  2022 · 8 citations
• On the Importance of Exploration for Generalization in Reinforcement Learning
  2023 · 5 citations
• Decoupling Value and Policy for Generalization in Reinforcement Learning
  2021 · 4 citations
• MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning
  2023 · 3 citations
• Teaching Large Language Models to Reason with Reinforcement Learning
  2024 · 3 citations