← authors · overview

• Deep reinforcement learning from human preferences
  2017 · 508 citations
• Scalable agent alignment via reward modeling: a research direction
  2018 · 126 citations
• AI Safety Gridworlds
  2017 · 118 citations
• Learning to Understand Goal Specifications by Modelling Reward
  2018 · 69 citations
• Reward learning from human preferences and demonstrations in Atari
  2018 · 39 citations
• Universal Reinforcement Learning Algorithms: Survey and Experiments
  2017 · 20 citations
• Thompson Sampling is Asymptotically Optimal in General Environments
  2016 · 18 citations
• Active Reinforcement Learning: Observing Rewards at a Cost
  2020 · 12 citations
• Quantifying Differences in Reward Functions
  2020 · 10 citations
• Learning Human Objectives by Evaluating Hypothetical Behavior
  2019 · 9 citations
• LLM Critics Help Catch LLM Bugs
  2024 · 8 citations
• Nonparametric General Reinforcement Learning
  2016 · 6 citations
• Exploration Potential
  2016 · 2 citations
• Safe Deep RL in 3D Environments using Human Feedback
  2022 · 2 citations
• Generalised Discount Functions applied to a Monte-Carlo AImu Implementation
  2017