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Michael Bowling

  1. The Hanabi challenge: A new frontier for AI research
    2019/02/01 by Nolan Bard, Jakob Foerster, Jakob N. Foerster +14 · 4 voices · 54 citations
    Computer Science · Decision Sciences · #Artificial Intelligence in Games #Reinforcement Learning in Robotics #Advanced Bandit Algorithms Research
  2. DeepStack: Expert-level artificial intelligence in heads-up no-limit poker
    2017/01/06 by Matej Moravčík, Martin Schmid, Neil Burch +7 · 3 voices · 78 citations
    Computer Science · Economics, Econometrics and Finance · Psychology · #Artificial Intelligence in Games #Sports Analytics and Performance #Gambling Behavior and Treatments
  3. The Alberta Plan for AI Research
    2022/08/23 by Richard S. Sutton, Michael Bowling, Sutton, Richard S. +3 · 6 voices · 4 citations
    #cs.AI #cs.LG
  4. Student of Games: A unified learning algorithm for both perfect and imperfect information games
    2021/12/06 by Martin Schmid, Matej Moravčík, Matej Moravcik +12 · 1 voice · 4 citations
    Computer Science · Social Sciences · #Artificial Intelligence in Games #Reinforcement Learning in Robotics #Digital Games and Media
  5. Revisiting the Arcade Learning Environment: Evaluation Protocols and\n Open Problems for General Agents
    2017/09/18 by Marlos C. Machado, Machado, Marlos C., Marc G. Bellemare +9 · 26 citations
    Computer Science · #Artificial Intelligence in Games #Data Stream Mining Techniques #Reinforcement Learning in Robotics
  6. Bayes' Bluff: Opponent Modelling in Poker
    2012/07/04 by Finnegan Southey, Southey, Finnegan, Michael Bowling +11 · 18 citations
    Computer Science · Economics, Econometrics and Finance · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #Computer Science and Game Theory (cs.GT) #Data Visualization and Analytics #FOS: Computer and information sciences #Sports Analytics and Performance
  7. Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning
    2018/11/04 by Jakob Foerster, Francis Song, Foerster, Jakob N. +13 · 10 citations
    Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Artificial Immune Systems Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #Reinforcement Learning in Robotics
  8. TacticAI: an AI assistant for football tactics
    2023/10/16 by Zhe Wang, Petar Veličković, Wang, Zhe +43 · 14 citations
    Economics, Econometrics and Finance · Engineering · Medicine · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multiagent Systems (cs.MA) #Sports Analytics and Performance #Sports Dynamics and Biomechanics #Sports Performance and Training
  9. Generalization and Regularization in DQN
    2018/09/29 by Jesse Farebrother, Marlos C. Machado, Farebrother, Jesse +3 · 8 citations
    Computer Science · #Adaptive Dynamic Programming Control #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  10. Settling the Reward Hypothesis
    2022/12/20 by Michael Bowling, Bowling, Michael, John D. Martin +5 · 7 citations
    Arts and Humanities · #Philosophy and History of Science
  11. Dyna-Style Planning with Linear Function Approximation and Prioritized\n Sweeping
    2012/06/13 by Richard S. Sutton, Csaba Szepesvári, Sutton, Richard S. +6 · 4 citations
    Computer Science · Decision Sciences · #AI-based Problem Solving and Planning #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #Formal Methods in Verification #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robotic Path Planning Algorithms #Systems and Control (eess.SY) #electronic engineering #information engineering
  12. Agency Is Frame-Dependent
    2025/02/06 by David Abel, Abel, David, André Barreto +30 · 4 voices · 1 citation
    Neuroscience · Psychology · #Action Observation and Synchronization #Embodied and Extended Cognition #Free Will and Agency #cs.AI
  13. Actor-Critic Policy Optimization in Partially Observable Multiagent\n Environments
    2018/10/21 by Sriram Srinivasan, Srinivasan, Sriram, Marc Lanctot +11 · 3 citations
    Computer Science · Decision Sciences · Economics, Econometrics and Finance · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multiagent Systems (cs.MA) #Reinforcement Learning in Robotics #Sports Analytics and Performance
  14. A Method for Evaluating Hyperparameter Sensitivity in Reinforcement Learning
    2024/12/10 by Jacob Adkins, Michael Bowling, Adkins, Jacob +3 · 1 voice · 5 citations
    Computer Science · #Evolutionary Algorithms and Applications #cs.AI #cs.LG
  15. Monitored Markov Decision Processes
    2024/02/09 by Simone Parisi, Montaser Mohammedalamen, Parisi, Simone +7 · 3 citations
    Business, Management and Accounting · Decision Sciences · #Business Process Modeling and Analysis #FOS: Computer and information sciences #Machine Learning (cs.LG) #Simulation Techniques and Applications
  16. 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
  17. Beyond Optimism: Exploration With Partially Observable Rewards
    2024/06/20 by Simone Parisi, Alireza Kazemipour, Parisi, Simone +3 · 3 citations
    Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reservoir Engineering and Simulation Methods
  18. Learning Purposeful Behaviour in the Absence of Rewards
    2016/05/25 by Marlos C. Machado, Machado, Marlos C., Michael Bowling +1 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  19. On the Interplay Between Sparsity and Training in Deep Reinforcement Learning
    2025/01/28 by Fatima Davelouis, John D. Martin, Davelouis, Fatima +3 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  20. Rethinking the Foundations for Continual Reinforcement Learning
    2025/04/10 by Esraa Elelimy, David Szepesvari, Elelimy, Esraa +5 · 2 voices · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.LG