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Barreto, André

  1. Successor Features for Transfer in Reinforcement Learning
    2016/06/16 by André Sales Barreto, Will Dabney, Barreto, André +11 · 32 citations
    Computer Science · #Reinforcement Learning in Robotics #Adaptive Dynamic Programming Control #Evolutionary Algorithms and Applications
  2. A Definition of Continual Reinforcement Learning
    2023/07/20 by David Abel, André Barreto, Abel, David +9 · 15 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  3. Universal Successor Features Approximators
    2018/12/18 by Diana Borsa, Borsa, Diana, André Barreto +13 · 8 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Reinforcement Learning in Robotics
  4. Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement
    2019/01/30 by Barreto, André, Borsa, Diana, Quan, John +6 · 4 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  5. The Value Equivalence Principle for Model-Based Reinforcement Learning
    2020/11/06 by Christopher Grimm, Grimm, Christopher, André Barreto +5 · 4 citations
    Computer Science · #Reinforcement Learning in Robotics #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI)
  6. Agency Is Frame-Dependent
    2025/02/06 by David Abel, André Barreto, Abel, David +30 · 4 voices · 1 citation
    Neuroscience · Psychology · #Action Observation and Synchronization #Embodied and Extended Cognition #Free Will and Agency #cs.AI
  7. The Value-Improvement Path: Towards Better Representations for Reinforcement Learning
    2020/06/03 by Dabney, Will, Barreto, André, Rowland, Mark +4 · 4 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  8. The Phenomenon of Policy Churn
    2022/06/01 by Tom Schaul, André Barreto, Schaul, Tom +6 · 1 voice · 3 citations
    Computer Science · #Reinforcement Learning in Robotics
  9. Deep Reinforcement Learning with Plasticity Injection
    2023/05/24 by Nikishin, Evgenii, Oh, Junhyuk, Ostrovski, Georg +4 · 5 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  10. The Option Keyboard: Combining Skills in Reinforcement Learning
    2021/06/24 by Barreto, André, Borsa, Diana, Hou, Shaobo +8 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  11. Temporally-Extended ε-Greedy Exploration
    2020/06/02 by Dabney, Will, Ostrovski, Georg, Barreto, André · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  12. A Distributional Analogue to the Successor Representation
    2024/02/13 by Harley Wiltzer, Wiltzer, Harley, Jesse Farebrother +13 · 3 citations
    Economics, Econometrics and Finance · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Insurance and Financial Risk Management #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  13. Plasticity as the Mirror of Empowerment
    2025/05/15 by David Abel, Abel, David, Michael Bowling +30 · 3 voices · 3 citations
    Neuroscience · Psychology · #cs.AI #cs.LG
  14. Risk-Aware Transfer in Reinforcement Learning using Successor Features
    2021/05/28 by Gimelfarb, Michael, Barreto, André, Sanner, Scott +1 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  15. Expected Eligibility Traces
    2020/07/03 by van Hasselt, Hado, Madjiheurem, Sephora, Hessel, Matteo +3 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  16. Model-Value Inconsistency as a Signal for Epistemic Uncertainty
    2021/12/08 by Angelos Filos, Filos, Angelos, Eszter Vértes +17 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
  17. Generalised Policy Improvement with Geometric Policy Composition
    2022/06/17 by Thakoor, Shantanu, Rowland, Mark, Borsa, Diana +3 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  18. On the Convergence of Bounded Agents
    2023/07/20 by David Abel, Abel, David, André Sales Barreto +9 · 1 citation
    Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Computability, Logic, AI Algorithms #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Game Theory and Applications #Machine Learning (cs.LG)
  19. Optimizing Return Distributions with Distributional Dynamic Programming
    2025/01/22 by Pires, Bernardo Ávila, Rowland, Mark, Borsa, Diana +6 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Systems and Control (eess.SY) #electronic engineering #information engineering