Mark Rowland
- Mastering the game of Stratego with model-free multiagent reinforcement learning
2022/06/30 by Julien Perolat, Julien Pérolat, Bart de Vylder +38 · 6 voices · 21 citations
Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Artificial Intelligence in Games #Advanced Bandit Algorithms Research
- A General Theoretical Paradigm to Understand Learning from Human Preferences
2023/10/18 by Mohammad Gheshlaghi Azar, Azar, Mohammad Gheshlaghi, Mark Rowland +11 · 3 voices · 119 citations
Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Advanced Bandit Algorithms Research
- Nash Learning from Human Feedback
2023/12/01 by Rémi Munos, Michal Valko, Munos, Rémi +31 · 1 voice · 25 citations
#stat.ML #cs.AI #cs.GT #cs.LG #cs.MA
- Revisiting Fundamentals of Experience Replay
2020/07/13 by William Fedus, Fedus, William, Prajit Ramachandran +11 · 17 citations
Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #Age of Information Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Smart Grid Energy Management
- α-Rank: Multi-Agent Evaluation by Evolution
2019/03/04 by Shayegan Omidshafiei, Omidshafiei, Shayegan, Christos H. Papadimitriou +21 · 1 voice · 4 citations
Computer Science · Economics, Econometrics and Finance · Social Sciences · #Artificial Intelligence in Games #Evolutionary Game Theory and Cooperation #Sports Analytics and Performance #cs.GT #cs.MA
- Understanding and Preventing Capacity Loss in Reinforcement Learning
2022/04/20 by Clare Lyle, Lyle, Clare, Mark Rowland +3 · 11 citations
Computer Science · #Reinforcement Learning in Robotics
- Structured Evolution with Compact Architectures for Scalable Policy\n Optimization
2018/04/06 by Krzysztof Choromański, Mark Rowland, Choromanski, Krzysztof +7 · 9 citations
Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Robotics (cs.RO) #Stochastic Gradient Optimization Techniques
- Meta-learning of Sequential Strategies
2019/05/08 by Pedro A. Ortega, Ortega, Pedro A., Jane X. Wang +45 · 13 citations
Computer Science · #Machine Learning and Data Classification #Gaussian Processes and Bayesian Inference #Data Stream Mining Techniques
- Generalized Preference Optimization: A Unified Approach to Offline Alignment
2024/02/08 by Yunhao Tang, Zhaohan Daniel Guo, Tang, Yunhao +17 · 12 citations
Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Constraint Satisfaction and Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multi-Criteria Decision Making
- 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
- Black-box α-divergence Minimization
2015/11/10 by José Miguel Hernández-Lobato, Yingzhen Li, Hernández-Lobato, José Miguel +10 · 4 citations
Computer Science · Engineering · #Gaussian Processes and Bayesian Inference #Neural Networks and Applications #Fault Detection and Control Systems
- MICo: Improved representations via sampling-based state similarity for Markov decision processes
2021/06/03 by Pablo Samuel Castro, Tyler Kastner, Castro, Pablo Samuel +5 · 5 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Data Stream Mining Techniques #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
- 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
- Foundations of Multivariate Distributional Reinforcement Learning
2024/08/31 by Harley Wiltzer, Jesse Farebrother, Wiltzer, Harley +5 · 2 voices · 3 citations
Agricultural and Biological Sciences · Computer Science · #Food Supply Chain Traceability #Statistical and Computational Modeling #cs.LG #math.OC #stat.ML
- 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)
- 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
- The Nature of Temporal Difference Errors in Multi-step Distributional Reinforcement Learning
2022/07/15 by Yunhao Tang, Mark Rowland, Tang, Yunhao +9 · 1 citation
Computer Science · #Reinforcement Learning in Robotics
- Learning Dynamics and Generalization in Reinforcement Learning
2022/06/05 by Clare Lyle, Lyle, Clare, Mark Rowland +7 · 1 citation
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
- Learning Correlated Equilibria in Mean-Field Games
2022/08/22 by Paul Müller, Romuald Élie, Muller, Paul +17 · 1 citation
Decision Sciences · Economics, Econometrics and Finance · Physics and Astronomy · #Advanced Thermodynamics and Statistical Mechanics #Computer Science and Game Theory (cs.GT) #Economic theories and models #FOS: Computer and information sciences #Game Theory and Applications #Machine Learning (stat.ML)
- 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
- A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning
2024/06/04 by Khimya Khetarpal, Zhaohan Daniel Guo, Khetarpal, Khimya +17 · 1 citation
Computer Science · #Evolutionary Algorithms and Applications #Reinforcement Learning in Robotics