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Bellemare, Marc G.

  1. Unifying Count-Based Exploration and Intrinsic Motivation
    2016/06/06 by Marc G. Bellemare, Sriram Srinivasan, Bellemare, Marc G. +10 · 1 voice · 43 citations
    Computer Science · Economics, Econometrics and Finance · Mathematics · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Sports Analytics and Performance #cs.AI #cs.LG #stat.ML
  2. A Distributional Perspective on Reinforcement Learning
    2017/07/21 by Marc G. Bellemare, Will Dabney, Bellemare, Marc G. +3 · 70 citations
    Business, Management and Accounting · Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Auction Theory and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Supply Chain and Inventory Management
  3. Deep Reinforcement Learning at the Edge of the Statistical Precipice
    2021/08/30 by Rishabh Agarwal, Max Schwarzer, Agarwal, Rishabh +7 · 66 citations
    Computer Science · #Reinforcement Learning in Robotics #Evolutionary Algorithms and Applications #Advanced Multi-Objective Optimization Algorithms
  4. Distributional Reinforcement Learning with Quantile Regression
    2017/10/27 by Dabney, Will, Rowland, Mark, Bellemare, Marc G. +1 · 42 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  5. Safe and Efficient Off-Policy Reinforcement Learning
    2016/06/08 by Rémi Munos, Munos, Rémi, Tom Stepleton +5 · 1 voice · 18 citations
    Computer Science · Decision Sciences · Mathematics · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Formal Methods in Verification #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #cs.AI #cs.LG #stat.ML
  6. Automated Curriculum Learning for Neural Networks
    2017/04/10 by Alex Graves, Marc G. Bellemare, Graves, Alex +7 · 31 citations
    Computer Science · Decision Sciences · #Machine Learning and Algorithms #Advanced Bandit Algorithms Research #Machine Learning and Data Classification
  7. Revisiting the Arcade Learning Environment: Evaluation Protocols and\n Open Problems for General Agents
    2017/09/18 by Marlos C. Machado, Marc G. Bellemare, Machado, Marlos C. +9 · 24 citations
    Computer Science · #Artificial Intelligence in Games #Data Stream Mining Techniques #Reinforcement Learning in Robotics
  8. Count-Based Exploration with Neural Density Models
    2017/03/03 by Georg Ostrovski, Marc G. Bellemare, Ostrovski, Georg +5 · 23 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Reinforcement Learning in Robotics
  9. DeepMDP: Learning Continuous Latent Space Models for Representation Learning
    2019/06/06 by Gelada, Carles, Kumar, Saurabh, Buckman, Jacob +2 · 15 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  10. The Cramer Distance as a Solution to Biased Wasserstein Gradients
    2017/05/30 by Marc G. Bellemare, Bellemare, Marc G., Ivo Danihelka +11 · 15 citations
    Mathematics · #FOS: Computer and information sciences #Geometric Analysis and Curvature Flows #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical Analysis and Transform Methods #Point processes and geometric inequalities
  11. A Laplacian Framework for Option Discovery in Reinforcement Learning
    2017/03/02 by Machado, Marlos C., Bellemare, Marc G., Bowling, Michael · 6 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  12. Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning
    2021/01/13 by Agarwal, Rishabh, Machado, Marlos C., Castro, Pablo Samuel +1 · 7 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  13. Statistics and Samples in Distributional Reinforcement Learning
    2019/02/21 by Mark Rowland, Robert Dadashi, Rowland, Mark +9 · 7 citations
    Computer Science · #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  14. Tapered Off-Policy REINFORCE: Stable and efficient reinforcement learning for LLMs
    2025/03/18 by Nicolas Le Roux, Roux, Nicolas Le, Marc G. Bellemare +17 · 22 citations
    Computer Science · Engineering · #Digital Rights Management and Security #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multi-Agent Systems and Negotiation #Scheduling and Optimization Algorithms
  15. An Analysis of Categorical Distributional Reinforcement Learning
    2018/02/22 by Rowland, Mark, Bellemare, Marc G., Dabney, Will +2 · 4 citations
    #FOS: Computer and information sciences #Machine Learning (stat.ML)
  16. Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress
    2022/06/03 by Agarwal, Rishabh, Schwarzer, Max, Castro, Pablo Samuel +2 · 5 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  17. Q(λ) with Off-Policy Corrections
    2016/02/16 by Harutyunyan, Anna, Bellemare, Marc G., Stepleton, Tom +1 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  18. 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)
  19. An Analysis of Quantile Temporal-Difference Learning
    2023/01/11 by Rowland, Mark, Munos, Rémi, Azar, Mohammad Gheshlaghi +6 · 5 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  20. A Comparative Analysis of Expected and Distributional Reinforcement\n Learning
    2019/01/30 by Clare Lyle, Pablo Samuel Castro, Lyle, Clare +3 · 3 citations
    Computer Science · #Advanced Multi-Objective Optimization Algorithms #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  21. The Value Function Polytope in Reinforcement Learning
    2019/01/31 by Dadashi, Robert, Taïga, Adrien Ali, Roux, Nicolas Le +2 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  22. Dopamine: A Research Framework for Deep Reinforcement Learning
    2018/12/14 by Castro, Pablo Samuel, Moitra, Subhodeep, Gelada, Carles +2 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  23. Controlling Large Language Model Agents with Entropic Activation Steering
    2024/06/01 by Rahn, Nate, D'Oro, Pierluca, Bellemare, Marc G. · 5 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  24. Count-Based Exploration with the Successor Representation
    2018/07/31 by Machado, Marlos C., Bellemare, Marc G., Bowling, Michael · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  25. A Geometric Perspective on Optimal Representations for Reinforcement Learning
    2019/01/31 by Bellemare, Marc G., Dabney, Will, Dadashi, Robert +6 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  26. On Catastrophic Interference in Atari 2600 Games
    2020/02/28 by William Fedus, Dibya Ghosh, Fedus, William +9 · 1 voice
    #cs.LG #cs.AI #stat.ML
  27. The Importance of Pessimism in Fixed-Dataset Policy Optimization
    2020/09/15 by Buckman, Jacob, Gelada, Carles, Bellemare, Marc G. · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  28. Small batch deep reinforcement learning
    2023/10/05 by Johan Obando-Ceron, Marc G. Bellemare, Obando-Ceron, Johan +3 · 5 citations
    Engineering · Neuroscience · #Artificial Intelligence (cs.AI) #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #Machine Learning (cs.LG) #Muscle activation and electromyography studies
  29. Metrics and continuity in reinforcement learning
    2021/02/02 by Lan, Charline Le, Bellemare, Marc G., Castro, Pablo Samuel · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  30. A Distributional Analogue to the Successor Representation
    2024/02/13 by Harley Wiltzer, Jesse Farebrother, Wiltzer, Harley +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)
  31. Hyperbolic Discounting and Learning over Multiple Horizons
    2019/02/19 by William Fedus, Carles Gelada, Fedus, William +7 · 1 voice · 1 citation
    Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.LG #stat.ML
  32. Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks
    2023/04/25 by Jesse Farebrother, Farebrother, Jesse, Joshua Greaves +11 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  33. Representations for Stable Off-Policy Reinforcement Learning
    2020/07/10 by Ghosh, Dibya, Bellemare, Marc G. · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  34. Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous Control
    2023/09/26 by Rahn, Nate, D'Oro, Pierluca, Wiltzer, Harley +2 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  35. The Nature of Temporal Difference Errors in Multi-step Distributional Reinforcement Learning
    2022/07/15 by Yunhao Tang, Tang, Yunhao, Mark Rowland +9 · 1 citation
    Computer Science · #Reinforcement Learning in Robotics
  36. On the Generalization of Representations in Reinforcement Learning
    2022/03/01 by Lan, Charline Le, Tu, Stephen, Oberman, Adam +2 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  37. Distributional Hamilton-Jacobi-Bellman Equations for Continuous-Time Reinforcement Learning
    2022/05/24 by Harley Wiltzer, Wiltzer, Harley, David Meger +3 · 2 citations
    Computer Science · Decision Sciences · Physics and Astronomy · #Advanced Bandit Algorithms Research #Advanced Thermodynamics and Statistical Mechanics #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Reinforcement Learning in Robotics
  38. Bootstrapped Representations in Reinforcement Learning
    2023/06/16 by Charline Le Lan, Lan, Charline Le, Stephen Tu +11 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  39. Benchmarking Bonus-Based Exploration Methods on the Arcade Learning\n Environment
    2019/08/06 by Adrien Ali Taïga, Taïga, Adrien Ali, William Fedus +7 · 1 citation
    Computer Science · Decision Sciences · Psychology · #Advanced Bandit Algorithms Research #Artificial Intelligence in Games #FOS: Computer and information sciences #Gambling Behavior and Treatments #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  40. Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning
    2024/10/14 by Harley Wiltzer, Wiltzer, Harley, Marc G. Bellemare +7 · 2 citations
    Computer Science · Engineering · #Adaptive Dynamic Programming Control #Extremum Seeking Control Systems #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Reinforcement Learning in Robotics