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Joel Z. Leibo

  1. Reinforcement Learning with Unsupervised Auxiliary Tasks
    2016/11/16 by Max Jaderberg, Volodymyr Mnih, Jaderberg, Max +12 · 3 voices · 63 citations
    Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Advanced Bandit Algorithms Research #Data Stream Mining Techniques
  2. Learning to reinforcement learn
    2016/11/17 by Jane X. Wang, Jane X Wang, Zeb Kurth-Nelson +19 · 3 voices · 97 citations
    Computer Science · Neuroscience · #Reinforcement Learning in Robotics #Neural dynamics and brain function #Neural Networks and Reservoir Computing
  3. From AGI to ASI
    2026/06/10 by Tim Genewein, Matija Franklin, Alexander Lerchner +11 · 13 voices
    #cs.AI #cs.CY #cs.LG
  4. Deep Q-learning from Demonstrations
    2017/04/12 by Todd Hester, Matej Vecerik, Matej Vecerík +27 · 2 voices · 13 citations
    Computer Science · Economics, Econometrics and Finance · #Reinforcement Learning in Robotics #Software Engineering Research #Sports Analytics and Performance #cs.AI #cs.LG
  5. Unsupervised Predictive Memory in a Goal-Directed Agent
    2018/03/28 by Greg Wayne, Chia-Chun Hung, Wayne, Greg +50 · 1 voice · 6 citations
    Computer Science · Neuroscience · #Explainable Artificial Intelligence (XAI) #Neural dynamics and brain function #Reinforcement Learning in Robotics #cs.LG #stat.ML
  6. Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents
    2018/01/24 by Joel Z. Leibo, Leibo, Joel Z., Cyprien de Masson d'Autume +27 · 3 voices · 3 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Neuroscience · Psychology · #Artificial Intelligence (cs.AI) #EEG and Brain-Computer Interfaces #FOS: Biological sciences #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Mental Health Research Topics #Neural and Evolutionary Computing (cs.NE) #Neurons and Cognition (q-bio.NC) #cs.AI #cs.NE #q-bio.NC
  7. A multi-agent reinforcement learning model of common-pool resource appropriation
    2017/07/20 by Julien Perolat, Julien Pérolat, Perolat, Julien +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
  8. Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia
    2023/12/06 by Alexander Sasha Vezhnevets, Vezhnevets, Alexander Sasha, John Agapiou +19 · 4 voices · 21 citations
    Business, Management and Accounting · #cs.AI #cs.CL
  9. Using Fast Weights to Attend to the Recent Past
    2016/10/20 by Jimmy Ba, Ba, Jimmy, Geoffrey E. Hinton +7 · 17 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)
  10. Multi-Agent Risks from Advanced AI
    2025/02/19 by Lewis Hammond, Hammond, Lewis, Alan Chan +89 · 3 voices · 35 citations
    Social Sciences · #Ethics and Social Impacts of AI #cs.AI #cs.CY #cs.ET #cs.LG #cs.MA
  11. 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
  12. 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
  13. Machine Culture
    2023/11/19 by Levin Brinkmann, Fabian Baumann, Jean-François Bonnefon +12 · 2 voices · 4 citations
    Computer Science · #cs.CY
  14. How Important is Weight Symmetry in Backpropagation?
    2015/10/17 by Qianli Liao, Joel Z. Leibo, Liao, Qianli +3 · 8 citations
    Computer Science · Engineering · #Machine Learning and ELM #Nanopore and Nanochannel Transport Studies #Sparse and Compressive Sensing Techniques
  15. Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research
    2019/03/02 by Joel Z. Leibo, Edward Hughes, Leibo, Joel Z. +5 · 8 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)
  16. Malthusian Reinforcement Learning
    2018/12/17 by Joel Z. Leibo, Julien Perolat, Leibo, Joel Z. +15 · 1 voice · 1 citation
    #cs.NE #cs.MA #q-bio.PE
  17. A theory of appropriateness with applications to generative artificial intelligence
    2024/12/26 by Joel Z. Leibo, Alexander Sasha Vezhnevets, Leibo, Joel Z. +30 · 2 voices · 9 citations
    Decision Sciences · #Complex Systems and Decision Making #cs.AI
  18. Framework-Based Qualitative Analysis of Free Responses of Large Language Models: Algorithmic Fidelity
    2023/09/06 by Aliya Amirova, Amirova, Aliya, Theodora Fteropoulli +7 · 4 citations
    Social Sciences · #Computational and Text Analysis Methods
  19. A Pragmatic View of AI Personhood
    2025/10/30 by Joel Z. Leibo, Alexander Sasha Vezhnevets, Leibo, Joel Z. +5 · 7 voices · 3 citations
    #cs.AI
  20. Interval timing in deep reinforcement learning agents
    2019/05/31 by Ben Deverett, Deverett, Ben, Ryan Faulkner +7 · 2 citations
    Neuroscience · Computer Science · #Neuroscience and Music Perception #Neural dynamics and brain function #Neural Networks and Reservoir Computing
  21. A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings
    2021/06/16 by Eugene Vinitsky, Vinitsky, Eugene, Raphaël Koster +9 · 3 citations
    Social Sciences · Physics and Astronomy · #Evolutionary Game Theory and Cooperation #Opinion Dynamics and Social Influence #Crime, Illicit Activities, and Governance
  22. Societal and technological progress as sewing an ever-growing, ever-changing, patchy, and polychrome quilt
    2025/05/08 by Joel Z. Leibo, Alexander Sasha Vezhnevets, Leibo, Joel Z. +9 · 3 voices · 2 citations
    Social Sciences · #Ethics and Social Impacts of AI #Innovation, Sustainability, Human-Machine Systems #Language and cultural evolution #cs.AI #cs.CY
  23. Emergent Bartering Behaviour in Multi-Agent Reinforcement Learning
    2022/05/13 by Michael Bradley Johanson, Edward Hughes, Johanson, Michael Bradley +5 · 2 citations
    Economics, Econometrics and Finance · #Complex Systems and Time Series Analysis #Economic theories and models
  24. Unsupervised Learning of Invariant Representations in Hierarchical\n Architectures
    2013/11/17 by Fabio Anselmi, Anselmi, Fabio, Joel Z. Leibo +9 · 3 citations
    Computer Science · Engineering · Neuroscience · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face Recognition and Perception #Image Retrieval and Classification Techniques #Machine Learning (cs.LG) #Remote-Sensing Image Classification #Visual perception and processing mechanisms
  25. Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences, 2017
    2017/11/22 by Matthew Botvinick, Botvinick, M., David G. T. Barrett +35 · 2 citations
    Computer Science · #Reinforcement Learning in Robotics #Explainable Artificial Intelligence (XAI) #AI-based Problem Solving and Planning
  26. A social path to human-like artificial intelligence
    2023/11/17 by Edgar A. Duéñez-Guzmán, Edgar A. Duéñez‐Guzmán, Suzanne Sadedin +3 · 1 voice · 2 citations
    Physics and Astronomy · Social Sciences · #Evolutionary Game Theory and Cooperation #Language and cultural evolution #Opinion Dynamics and Social Influence #cs.AI #cs.LG
  27. Silly rules improve the capacity of agents to learn stable enforcement\n and compliance behaviors
    2020/01/25 by Raphael Köster, Raphaël Koster, Dylan Hadfield-Menell +6 · 1 voice
    Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Crime Patterns and Interventions #Crime, Illicit Activities, and Governance #Cybercrime and Law Enforcement Studies #FOS: Computer and information sciences #Multiagent Systems (cs.MA) #cs.AI #cs.MA
  28. Doing the right thing for the right reason: Evaluating artificial moral cognition by probing cost insensitivity
    2023/05/29 by Yiran Mao, Madeline G. Reinecke, Mao, Yiran +11 · 1 citation
    Computer Science · Neuroscience · Social Sciences · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Experimental Behavioral Economics Studies #FOS: Computer and information sciences #Psychology of Moral and Emotional Judgment
  29. Learning Reciprocity in Complex Sequential Social Dilemmas
    2019/03/19 by Tom Eccles, Edward Hughes, Eccles, Tom +7 · 1 citation
    Decision Sciences · Social Sciences · #Evolutionary Game Theory and Cooperation #Experimental Behavioral Economics Studies #FOS: Computer and information sciences #Game Theory and Applications #Machine Learning (cs.LG) #Multiagent Systems (cs.MA)
  30. SocialJax: An Evaluation Suite for Multi-agent Reinforcement Learning in Sequential Social Dilemmas
    2025/03/18 by Zihao Guo, Shuqing Shi, Guo, Zihao +9 · 3 citations
    Computer Science · Social Sciences · #Reinforcement Learning in Robotics #Evolutionary Game Theory and Cooperation #Artificial Intelligence in Games
  31. Using Large Language Models to Simulate Human Behavioural Experiments: Port of Mars
    2025/06/05 by Oliver Slumbers, Slumbers, Oliver, Joel Z. Leibo +3 · 2 citations
    Social Sciences · #Computers and Society (cs.CY) #Experimental Behavioral Economics Studies #FOS: Computer and information sciences #Innovation, Sustainability, Human-Machine Systems #Language and cultural evolution #Multiagent Systems (cs.MA)
  32. InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma
    2024/11/15 by Xiaoxuan Hou, Hou, Xiaoxuan, Jiayi Yuan +5 · 2 voices · 1 citation
    Computer Science · Economics, Econometrics and Finance · #Computers and Society (cs.CY) #FOS: Computer and information sciences #FOS: Economics and business #General Economics (econ.GN) #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #cs.CY #cs.LG #cs.MA #econ.GN