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• Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback
  2023 · 93 citations
• Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving
  2020 · 61 citations
• Emergent Prosociality in Multi-Agent Games Through Gifting
  2021 · 27 citations
• ViSaRL: Visual Reinforcement Learning Guided by Human Saliency
  2024 · 8 citations
• RoboCLIP: One Demonstration is Enough to Learn Robot Policies
  2023 · 7 citations
• Active Preference-Based Gaussian Process Regression for Reward Learning
  2020 · 6 citations
• Learning Multimodal Rewards from Rankings
  2021 · 2 citations
• Multi-Agent Inverse Q-Learning from Demonstrations
  2025 · 1 citations
• Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation
  2024 · 1 citations
• Actor-Free Continuous Control via Structurally Maximizable Q-Functions
  2025
• Learning Reward Functions from Diverse Sources of Human Feedback: Optimally Integrating Demonstrations and Preferences
  2020
• Learning Preferences for Interactive Autonomy
  2022
• DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning
  2024
• Mitigating Suboptimality of Deterministic Policy Gradients in Complex Q-functions
  2024