Thore Graepel
- Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
2017/12/05 by David Silver, Thomas Hubert, Silver, David +23 · 5 voices · 206 citations
Computer Science · #Artificial Intelligence in Games #Reinforcement Learning in Robotics #Video Analysis and Summarization
- Mastering Atari, Go, chess and shogi by planning with a learned model
2019/11/19 by Julian Schrittwieser, Ioannis Antonoglou, Thomas Hubert +9 · 4 voices · 153 citations
Computer Science · #Artificial Intelligence in Games #Reinforcement Learning in Robotics #AI-based Problem Solving and Planning
- From AGI to ASI
2026/06/10 by Tim Genewein, Matija Franklin, Alexander Lerchner +11 · 13 voices
#cs.AI #cs.CY #cs.LG
- From Motor Control to Team Play in Simulated Humanoid Football
2021/05/25 by Siqi Liu, Guy Lever, Liu, Siqi +45 · 2 voices · 8 citations
Computer Science · Economics, Econometrics and Finance · Psychology · #Action Observation and Synchronization #Human Pose and Action Recognition #Sports Analytics and Performance #cs.AI #cs.MA #cs.NE #cs.RO
- A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
2017/11/02 by Marc Lanctot, Vinícius Zambaldi, Vinicius Zambaldi +16 · 1 voice · 20 citations
Computer Science · #Artificial Intelligence in Games #Evolutionary Algorithms and Applications #Reinforcement Learning in Robotics #cs.AI #cs.GT #cs.LG #cs.MA
- A multi-agent reinforcement learning model of common-pool resource appropriation
2017/07/20 by Julien Pérolat, Julien Perolat, Joel Z. Leibo +11 · 1 voice · 7 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Decision Sciences · Social Sciences · #Evolutionary Game Theory and Cooperation #Experimental Behavioral Economics Studies #FOS: Biological sciences #FOS: Computer and information sciences #Game Theory and Applications #Multiagent Systems (cs.MA) #Neural and Evolutionary Computing (cs.NE) #Populations and Evolution (q-bio.PE) #cs.MA #cs.NE #q-bio.PE
- Open-ended Learning in Symmetric Zero-sum Games
2019/01/23 by David Balduzzi, Marta Garnelo, Balduzzi, David +11 · 1 voice · 5 citations
Computer Science · Mathematics · #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multiagent Systems (cs.MA) #cs.GT #cs.LG #cs.MA #stat.ML
- Open Problems in Cooperative AI
2020/12/15 by Allan Dafoe, Dafoe, Allan, Edward Hughes +13 · 18 citations
Social Sciences · Computer Science · #Evolutionary Game Theory and Cooperation #Multi-Agent Systems and Negotiation #Blockchain Technology Applications and Security
- Inequity aversion improves cooperation in intertemporal social dilemmas
2018/03/23 by Edward Hughes, Joel Z. Leibo, Hughes, Edward +21 · 16 citations
Social Sciences · #Experimental Behavioral Economics Studies #Evolutionary Game Theory and Cooperation #Culture, Economy, and Development Studies
- Foundations of Probabilistic Programming
2020/11/18 by Fredrik Dahlqvist, Alexandra Silva, Dexter Kozen +45 · 1 voice · 3 citations
Computer Science · #Bayesian Modeling and Causal Inference #Logic, Reasoning, and Knowledge
- Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research
2019/03/02 by Joel Z. Leibo, Leibo, Joel Z., Edward Hughes +5 · 9 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computer Science and Game Theory (cs.GT) #Evolutionary Algorithms and Applications #FOS: Biological sciences #FOS: Computer and information sciences #Multiagent Systems (cs.MA) #Neural and Evolutionary Computing (cs.NE) #Neurons and Cognition (q-bio.NC)
- Biases for Emergent Communication in Multi-agent Reinforcement Learning
2019/12/11 by Tom Eccles, Eccles, Tom, Yoram Bachrach +7 · 7 citations
Computer Science · Engineering · Social Sciences · #Computation and Language (cs.CL) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Language and cultural evolution #Machine Learning (cs.LG) #Modular Robots and Swarm Intelligence #Multiagent Systems (cs.MA)
- Re-evaluating Evaluation
2018/06/07 by David Balduzzi, Karl Tuyls, Balduzzi, David +5 · 6 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Science and Game Theory (cs.GT) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Malthusian Reinforcement Learning
2018/12/17 by Joel Z. Leibo, Leibo, Joel Z., Julien Perolat +15 · 1 voice · 1 citation
#cs.NE #cs.MA #q-bio.PE
- Learning to Play No-Press Diplomacy with Best Response Policy Iteration
2020/06/08 by Thomas Anthony, Tom Eccles, Anthony, Thomas +25 · 2 voices · 1 citation
Computer Science · Economics, Econometrics and Finance · #Artificial Intelligence in Games #Reinforcement Learning in Robotics #Sports Analytics and Performance #cs.AI #cs.GT #cs.LG #cs.MA #stat.ML
- Learning Shared Representations in Multi-task Reinforcement Learning
2016/03/07 by Diana Borsa, Borsa, Diana, Thore Graepel +3 · 2 citations
Computer Science · #Adaptive Dynamic Programming Control #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
- EigenGame: PCA as a Nash Equilibrium
2020/10/01 by Ian Gemp, Gemp, Ian, Brian McWilliams +5 · 2 citations
Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Image Segmentation Techniques #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- NeuPL: Neural Population Learning
2022/02/15 by Siqi Liu, Luke Marris, Liu, Siqi +9 · 1 citation
Computer Science · #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 #Topic Modeling