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• Near Optimal Behavior via Approximate State Abstraction
  2017 · 111 citations
• What can I do here? A Theory of Affordances in Reinforcement Learning
  2020 · 32 citations
• Exploratory Gradient Boosting for Reinforcement Learning in Complex Domains
  2016 · 24 citations
• Agent-Agnostic Human-in-the-Loop Reinforcement Learning
  2017 · 22 citations
• Discovering Options for Exploration by Minimizing Cover Time
  2019 · 11 citations
• A Definition of Continual Reinforcement Learning
  2023 · 9 citations
• Mitigating Planner Overfitting in Model-Based Reinforcement Learning
  2018 · 2 citations
• Revisiting Peng's Q($λ$) for Modern Reinforcement Learning
  2021 · 1 citations
• Remembering the Markov Property in Cooperative MARL
  2025
• Optimizing Return Distributions with Distributional Dynamic Programming
  2025
• Bad-Policy Density: A Measure of Reinforcement Learning Hardness
  2021
• On the Expressivity of Markov Reward
  2021
• Meta-Gradients in Non-Stationary Environments
  2022
• On the Convergence of Bounded Agents
  2023
• Three Dogmas of Reinforcement Learning
  2024