Hado van Hasselt
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
2025/07/07 by Gheorghe Comanici, Eric Bieber, Comanici, Gheorghe +6844 · 8 voices · 1398 citations
#cs.CL #cs.AI
- Deep Reinforcement Learning with Double Q-learning
2015/09/22 by Hado van Hasselt, van Hasselt, Hado, Arthur Guez +3 · 1 voice · 205 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.LG
- Dueling Network Architectures for Deep Reinforcement Learning
2015/11/20 by Ziyu Wang, Wang, Ziyu, Tom Schaul +9 · 265 citations
Computer Science · Engineering · #Reinforcement Learning in Robotics #Adversarial Robustness in Machine Learning #Autonomous Vehicle Technology and Safety
- StarCraft II: A New Challenge for Reinforcement Learning
2017/08/16 by Oriol Vinyals, Vinyals, Oriol, Timo Ewalds +48 · 1 voice · 81 citations
Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #Digital Games and Media #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #cs.AI #cs.LG
- Rainbow: Combining Improvements in Deep Reinforcement Learning
2017/10/06 by Matteo Hessel, Joseph Modayil, Hessel, Matteo +17 · 159 citations
Computer Science · #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
- Human-level Atari 200x faster
2022/09/15 by Steven Kapturowski, Víctor Campos, Kapturowski, Steven +13 · 2 voices · 6 citations
Computer Science · #cs.LG
- Successor Features for Transfer in Reinforcement Learning
2016/06/16 by André Sales Barreto, Will Dabney, Barreto, André +11 · 43 citations
Computer Science · #Reinforcement Learning in Robotics #Adaptive Dynamic Programming Control #Evolutionary Algorithms and Applications
- Discovering Reinforcement Learning Algorithms
2020/07/17 by Junhyuk Oh, Matteo Hessel, Oh, Junhyuk +11 · 3 voices · 3 citations
#cs.LG #cs.AI
- Deep Reinforcement Learning and the Deadly Triad
2018/12/06 by Hado van Hasselt, Yotam Doron, van Hasselt, Hado +9 · 41 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Age of Information Optimization #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
- Distributed Prioritized Experience Replay
2018/03/02 by Dan Horgan, John Quan, Horgan, Dan +11 · 23 citations
Computer Science · Neuroscience · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural dynamics and brain function #Reinforcement Learning in Robotics
- Meta-Gradient Reinforcement Learning
2018/05/24 by Zhongwen Xu, Hado van Hasselt, Xu, Zhongwen +3 · 18 citations
Computer Science · #Machine Learning and Data Classification #Reinforcement Learning in Robotics #Data Stream Mining Techniques
- A Definition of Continual Reinforcement Learning
2023/07/20 by David Abel, Abel, David, André Barreto +9 · 20 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
- Universal Successor Features Approximators
2018/12/18 by Diana Borsa, André Barreto, Borsa, Diana +13 · 12 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
- Multi-task Deep Reinforcement Learning with PopArt
2018/09/12 by Matteo Hessel, Hubert Soyer, Hessel, Matteo +9 · 12 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
- Learning values across many orders of magnitude
2016/02/24 by Hado van Hasselt, van Hasselt, Hado, Arthur Guez +7 · 12 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics
- Meta-learning of Sequential Strategies
2019/05/08 by Pedro A. Ortega, Jane X. Wang, Ortega, Pedro A. +45 · 16 citations
Computer Science · #Machine Learning and Data Classification #Gaussian Processes and Bayesian Inference #Data Stream Mining Techniques
- Normalization and effective learning rates in reinforcement learning
2024/07/01 by Clare Lyle, Lyle, Clare, Zeyu Zheng +11 · 17 citations
Computer Science · #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG)
- A Survey of Temporal Credit Assignment in Deep Reinforcement Learning
2023/12/02 by Eduardo Pignatelli, Johan Ferret, Pignatelli, Eduardo +9 · 11 citations
Computer Science · #Reinforcement Learning in Robotics
- Meta-Gradient Reinforcement Learning with an Objective Discovered Online
2020/07/16 by Zhongwen Xu, Xu, Zhongwen, Hado van Hasselt +9 · 4 citations
Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Reinforcement Learning in Robotics
- Observe and Look Further: Achieving Consistent Performance on Atari
2018/05/29 by Tobias Pohlen, Bilal Piot, Pohlen, Tobias +23 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
- What Can Learned Intrinsic Rewards Capture?
2019/12/11 by Zeyu Zheng, Zheng, Zeyu, Junhyuk Oh +12 · 2 citations
Computer Science · Decision Sciences · Neuroscience · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural dynamics and brain function #Reinforcement Learning in Robotics
- DataRater: Meta-Learned Dataset Curation
2025/05/23 by Dan A. Calian, Gregory Farquhar, Calian, Dan A. +21 · 3 voices · 5 citations
#stat.ML #cs.AI #cs.LG
- Synthetic Returns for Long-Term Credit Assignment
2021/02/24 by David Raposo, Raposo, David, Samuel Ritter +12 · 2 citations
Computer Science · Engineering · #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Smart Grid Energy Management
- Conditional Importance Sampling for Off-Policy Learning
2019/10/16 by Mark Rowland, Anna Harutyunyan, Rowland, Mark +11 · 1 citation
Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Advanced Bandit Algorithms Research #Age of Information Optimization
- Muesli: Combining Improvements in Policy Optimization
2021/04/13 by Matteo Hessel, Hessel, Matteo, Ivo Danihelka +15 · 1 citation
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
- Introducing Symmetries to Black Box Meta Reinforcement Learning
2021/09/22 by Louis Kirsch, Sebastian Flennerhag, Kirsch, Louis +9 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics
- Wasserstein Policy Optimization
2025/05/01 by David Pfau, Pfau, David, Ian Davies +9 · 1 voice · 2 citations
#cs.LG #cs.AI
- 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)
- General Uncertainty Estimation with Delta Variances
2025/02/20 by Simon Schmitt, John Shawe‐Taylor, Schmitt, Simon +3 · 1 citation
Decision Sciences · Engineering · #Probabilistic and Robust Engineering Design #Fault Detection and Control Systems #Nuclear Engineering Thermal-Hydraulics
- General non-linear Bellman equations
2019/07/08 by Hado van Hasselt, van Hasselt, Hado, John Quan +9 · 1 citation
Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Distributed Control Multi-Agent Systems #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Reinforcement Learning in Robotics