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• What can I do here? A Theory of Affordances in Reinforcement Learning
  2020 · 32 citations
• Towards Continual Reinforcement Learning: A Review and Perspectives
  2020 · 29 citations
• Environments for Lifelong Reinforcement Learning
  2018 · 6 citations
• Learning Robust State Abstractions for Hidden-Parameter Block MDPs
  2020 · 5 citations
• Variance Penalized On-Policy and Off-Policy Actor-Critic
  2021 · 3 citations
• Normalization and effective learning rates in reinforcement learning
  2024 · 1 citations
• Cracking the Code of Action: a Generative Approach to Affordances for Reinforcement Learning
  2025
• Optimizing Return Distributions with Distributional Dynamic Programming
  2025
• The Paradox of Choice: Using Attention in Hierarchical Reinforcement Learning
  2022
• POMRL: No-Regret Learning-to-Plan with Increasing Horizons
  2022
• Discovering Object-Centric Generalized Value Functions From Pixels
  2023
• Forecaster: Towards Temporally Abstract Tree-Search Planning from Pixels
  2023
• A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning
  2024