← authors · overview

• Deep Reinforcement Learning from Policy-Dependent Human Feedback
  2019 · 31 citations
• Mitigating Planner Overfitting in Model-Based Reinforcement Learning
  2018 · 2 citations
• Deciding What to Model: Value-Equivalent Sampling for Reinforcement Learning
  2022 · 2 citations
• Flexible and Efficient Long-Range Planning Through Curious Exploration
  2020 · 1 citations
• Planning to the Information Horizon of BAMDPs via Epistemic State Abstraction
  2022 · 1 citations
• Bayesian Reinforcement Learning with Limited Cognitive Load
  2023 · 1 citations
• Toward Efficient Exploration by Large Language Model Agents
  2025
• Bad-Policy Density: A Measure of Reinforcement Learning Hardness
  2021
• Between Rate-Distortion Theory & Value Equivalence in Model-Based Reinforcement Learning
  2022
• On Rate-Distortion Theory in Capacity-Limited Cognition & Reinforcement Learning
  2022
• Shattering the Agent-Environment Interface for Fine-Tuning Inclusive Language Models
  2023
• Hindsight-DICE: Stable Credit Assignment for Deep Reinforcement Learning
  2023
• Exploration Unbound
  2024
• Satisficing Exploration for Deep Reinforcement Learning
  2024