Shane Legg
- Levels of AGI for Operationalizing Progress on the Path to AGI
2023/11/04 by Meredith Ringel Morris, Morris, Meredith Ringel, Jascha Sohl-Dickstein +13 · 16 voices · 19 citations
#cs.AI
- Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety
2025/07/15 by Tomek Korbak, Korbak, Tomek, Mikita Balesni +79 · 25 voices · 66 citations
#cs.AI #cs.LG #stat.ML
- Deep reinforcement learning from human preferences
2017/06/12 by Paul Christiano, Paul F. Christiano, Jan Leike +11 · 1 voice · 574 citations
Computer Science · Engineering · Mathematics · #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Robot Manipulation and Learning #cs.AI #cs.HC #cs.LG #stat.ML
- Neural Networks and the Chomsky Hierarchy
2022/07/05 by Grégoire Delétang, Anian Ruoss, Delétang, Grégoire +20 · 2 voices · 26 citations
Computer Science · Engineering · #Ferroelectric and Negative Capacitance Devices #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL #cs.FL #cs.LG
- Universal Intelligence: A Definition of Machine Intelligence
2007/12/20 by Shane Legg, Marcus Hutter · 6 voices · 19 citations
#cs.AI
- Noisy Networks for Exploration
2017/06/30 by Meire Fortunato, Mohammad Gheshlaghi Azar, Fortunato, Meire +22 · 2 voices · 42 citations
Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Adversarial Robustness in Machine Learning #Advanced Bandit Algorithms Research
- From AGI to ASI
2026/06/10 by Tim Genewein, Matija Franklin, Alexander Lerchner +11 · 13 voices
#cs.AI #cs.CY #cs.LG
- IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
2018/02/05 by Lasse Espeholt, Hubert Soyer, Espeholt, Lasse +21 · 104 citations
Computer Science · Decision Sciences · #Adaptive Dynamic Programming Control #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
- Scalable agent alignment via reward modeling: a research direction
2018/11/19 by Jan Leike, David Krueger, Leike, Jan +9 · 67 citations
Computer Science · #Reinforcement Learning in Robotics #Data Stream Mining Techniques #Explainable Artificial Intelligence (XAI)
- AI Safety Gridworlds
2017/11/27 by Jan Leike, Leike, Jan, Miljan Martic +13 · 1 voice · 14 citations
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #cs.AI #cs.LG
- Shaking the foundations: delusions in sequence models for interaction and control
2021/10/20 by Pedro A. Ortega, Markus Kunesch, Ortega, Pedro A. +37 · 2 voices · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Topic Modeling #cs.AI #cs.LG
- Universal Intelligence: A Definition of Machine Intelligence
2007/11/09 by Shane Legg, Marcus Hutter, Marcus Hütter · 18 citations
Computer Science · #Computability, Logic, AI Algorithms #Evolutionary Algorithms and Applications #Machine Learning and Algorithms
- Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents
2018/01/24 by Joel Z. Leibo, Cyprien de Masson d’Autume, Leibo, Joel Z. +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
- Algorithms for Causal Reasoning in Probability Trees
2020/10/23 by Tim Genewein, Tom McGrath, Genewein, Tim +11 · 2 voices
#cs.AI #cs.LG
- Meta-learning of Sequential Strategies
2019/05/08 by Pedro A. Ortega, Jane X. Wang, Ortega, Pedro A. +45 · 12 citations
Computer Science · #Machine Learning and Data Classification #Gaussian Processes and Bayesian Inference #Data Stream Mining Techniques
- Randomized Positional Encodings Boost Length Generalization of Transformers
2023/05/26 by Anian Ruoss, Grégoire Delétang, Ruoss, Anian +13 · 9 citations
Computer Science · #Multimodal Machine Learning Applications #Topic Modeling #Natural Language Processing Techniques
- Scaling Instructable Agents Across Many Simulated Worlds
2024/03/13 by SIMA team, Maria Abi Raad, SIMA Team +184 · 12 citations
Computer Science · #Robotic Path Planning Algorithms #Teaching and Learning Programming
- Agents and Devices: A Relative Definition of Agency
2018/05/31 by Laurent Orseau, Orseau, Laurent, Simon McGregor McGill +3 · 1 voice · 2 citations
#cs.LG #cs.AI #stat.ML
- Is there an Elegant Universal Theory of Prediction?
2006/06/06 by Shane Legg, Legg, Shane · 1 citation
Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Benford’s Law and Fraud Detection #Computability, Logic, AI Algorithms #Computational Complexity (cs.CC) #FOS: Computer and information sciences #Machine Learning and Algorithms
- Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences, 2017
2017/11/22 by Matthew Botvinick, David G. T. Barrett, Botvinick, M. +35 · 2 citations
Computer Science · #Reinforcement Learning in Robotics #Explainable Artificial Intelligence (XAI) #AI-based Problem Solving and Planning
- Quantifying Differences in Reward Functions
2020/06/24 by Adam Gleave, Gleave, Adam, Michael D. Dennis +7 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #I.2.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
- Meta-trained agents implement Bayes-optimal agents
2020/10/21 by Vladimir Mikulik, Mikulik, Vladimir, Grégoire Delétang +11 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
- An Approximation of the Universal Intelligence Measure
2011/09/27 by Shane Legg, Joel Veness, Legg, Shane +1 · 1 citation
Computer Science · #Algorithms and Data Compression #Artificial Intelligence (cs.AI) #Computability, Logic, AI Algorithms #Evolutionary Algorithms and Applications #FOS: Computer and information sciences
- SIMA 2: A Generalist Embodied Agent for Virtual Worlds
2025/12/04 by SIMA team, Adrian Bolton, Bolton, Adrian +135 · 3 voices · 1 citation
Computer Science · Psychology · #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics #Social Robot Interaction and HRI #cs.AI #cs.RO