Bowling, Michael
- 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
- 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 · 25 citations
Computer Science · #Artificial Intelligence in Games #Data Stream Mining Techniques #Reinforcement Learning in Robotics
- Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning
2018/11/04 by Jakob Foerster, Francis Song, Foerster, Jakob N. +13 · 9 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
- TacticAI: an AI assistant for football tactics
2023/10/16 by Zhe Wang, Petar Veličković, Wang, Zhe +43 · 13 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
- 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)
- Generalization and Regularization in DQN
2018/09/29 by Farebrother, Jesse, Machado, Marlos C., Bowling, Michael · 4 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Rethinking Formal Models of Partially Observable Multiagent Decision Making
2019/06/26 by Kovařík, Vojtěch, Schmid, Martin, Burch, Neil +2 · 5 citations
#Artificial Intelligence (cs.AI) #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences
- Settling the Reward Hypothesis
2022/12/20 by Michael Bowling, Bowling, Michael, John D. Martin +5 · 6 citations
Arts and Humanities · #Philosophy and History of Science
- 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
- Solving Imperfect Information Games Using Decomposition
2013/03/18 by Burch, Neil, Johanson, Michael, Bowling, Michael · 2 citations
#Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences
- Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games using Baselines
2018/09/09 by Schmid, Martin, Burch, Neil, Lanctot, Marc +3 · 2 citations
#Artificial Intelligence (cs.AI) #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences
- 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)
- Actor-Critic Policy Optimization in Partially Observable Multiagent\n Environments
2018/10/21 by Sriram Srinivasan, Marc Lanctot, Srinivasan, Sriram +11 · 2 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
- Approximate exploitability: Learning a best response in large games
2020/04/20 by Timbers, Finbarr, Bard, Nolan, Lockhart, Edward +6 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Monitored Markov Decision Processes
2024/02/09 by Parisi, Simone, Mohammedalamen, Montaser, Kazemipour, Alireza +2 · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- No-Regret Learning in Extensive-Form Games with Imperfect Recall
2012/05/03 by Lanctot, Marc, Gibson, Richard, Burch, Neil +2 · 1 citation
#Artificial Intelligence (cs.AI) #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences
- Plasticity as the Mirror of Empowerment
2025/05/15 by David Abel, Michael Bowling, Abel, David +30 · 3 voices · 3 citations
Neuroscience · Psychology · #cs.AI #cs.LG
- A Method for Evaluating Hyperparameter Sensitivity in Reinforcement Learning
2024/12/10 by Jacob Adkins, Michael Bowling, Adkins, Jacob +3 · 1 voice · 3 citations
Computer Science · #Evolutionary Algorithms and Applications #cs.AI #cs.LG
- Beyond Optimism: Exploration With Partially Observable Rewards
2024/06/20 by Parisi, Simone, Kazemipour, Alireza, Bowling, Michael · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- State of the Art Control of Atari Games Using Shallow Reinforcement Learning
2015/12/04 by Liang, Yitao, Machado, Marlos C., Talvitie, Erik +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Learning Purposeful Behaviour in the Absence of Rewards
2016/05/25 by Machado, Marlos C., Bowling, Michael · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Equilibrium Approximation Quality of Current No-Limit Poker Bots
2016/12/22 by Lisy, Viliam, Bowling, Michael · 1 citation
#Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences
- Low-Variance and Zero-Variance Baselines for Extensive-Form Games
2019/07/22 by Davis, Trevor, Schmid, Martin, Bowling, Michael · 1 citation
#Artificial Intelligence (cs.AI) #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences
- Ease-of-Teaching and Language Structure from Emergent Communication
2019/06/06 by Li, Fushan, Bowling, Michael · 1 citation
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA)
- The Advantage Regret-Matching Actor-Critic
2020/08/27 by Gruslys, Audrūnas, Lanctot, Marc, Munos, Rémi +10 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Learning not to Regret
2023/03/02 by Sychrovský, David, Šustr, Michal, Davoodi, Elnaz +3 · 1 citation
#Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Proper Laplacian Representation Learning
2023/10/16 by Gomez, Diego, Bowling, Michael, Machado, Marlos C. · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- On the Interplay Between Sparsity and Training in Deep Reinforcement Learning
2025/01/28 by Davelouis, Fatima, Martin, John D., Bowling, Michael · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Rethinking the Foundations for Continual Reinforcement Learning
2025/04/10 by Esraa Elelimy, David Szepesvari, Elelimy, Esraa +5 · 2 voices · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.LG