← authors · overview

• Generalized Inner Loop Meta-Learning
  2019 · 88 citations
• Learning to Understand Goal Specifications by Modelling Reward
  2018 · 69 citations
• Learning with AMIGo: Adversarially Motivated Intrinsic Goals
  2020 · 48 citations
• The NetHack Learning Environment
  2020 · 40 citations
• TorchBeast: A PyTorch Platform for Distributed RL
  2019 · 29 citations
• Improving Intrinsic Exploration with Language Abstractions
  2022 · 16 citations
• RTFM: Generalising to Novel Environment Dynamics via Reading
  2019 · 15 citations
• Understanding the Effects of RLHF on LLM Generalisation and Diversity
  2023 · 14 citations
• A Survey of Zero-shot Generalisation in Deep Reinforcement Learning
  2021 · 13 citations
• MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
  2021 · 11 citations
• Improving Policy Learning via Language Dynamics Distillation
  2022 · 5 citations
• Prioritized Level Replay
  2020 · 4 citations
• Finetuning from Offline Reinforcement Learning: Challenges, Trade-offs and Practical Solutions
  2023 · 4 citations
• Grounding Aleatoric Uncertainty for Unsupervised Environment Design
  2022 · 3 citations
• Efficient Planning in a Compact Latent Action Space
  2022 · 3 citations