Laurent Orseau

64 papers A* 17A 2B 4Journal 31Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Affordances Enable Partial World Modeling with LLMs. CoRR Khimya Khetarpal, Gheorghe Comanici, Jonathan Richens, Jeremy Shar, Fei Xia, Laurent Orseau, Aleksandra Faust, Doina Precup
2025	J	`jnl`	Understanding Prompt Tuning and In-Context Learning via Meta-Learning. CoRR Tim Genewein, Li Kevin Wenliang, Jordi Grau-Moya, Anian Ruoss, Laurent Orseau, Marcus Hutter
2024	J	`jnl`	Exponential Speedups by Rerooting Levin Tree Search. CoRR Laurent Orseau, Marcus Hutter, Levi H. S. Lelis
2024	A*	`conf`	Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search. IJCAI Abbas Mehrabian, Ankit Anand, Hyunjik Kim, Nicolas Sonnerat, Matej Balog, Gheorghe Comanici, Tudor Berariu, Andrew Lee, Anian Ruoss, Anna Bulanova, Daniel Toyama, Sam Blackwell, Bernardino Romera-Paredes, Petar Velickovic, Laurent Orseau, Joonkyung Lee, Anurag Murty Naredla, Doina Precup, Adam Zsolt Wagner
2024	A*	`conf`	Language Modeling Is Compression. ICLR Grégoire Delétang, Anian Ruoss, Paul-Ambroise Duquenne, Elliot Catt, Tim Genewein, Christopher Mattern, Jordi Grau-Moya, Li Kevin Wenliang, Matthew Aitchison, Laurent Orseau, Marcus Hutter, Joel Veness
2024	A*	`conf`	Learning Universal Predictors. ICML Jordi Grau-Moya, Tim Genewein, Marcus Hutter, Laurent Orseau, Grégoire Delétang, Elliot Catt, Anian Ruoss, Li Kevin Wenliang, Christopher Mattern, Matthew Aitchison, Joel Veness
2024	J	`jnl`	Learning Universal Predictors. CoRR Jordi Grau-Moya, Tim Genewein, Marcus Hutter, Laurent Orseau, Grégoire Delétang, Elliot Catt, Anian Ruoss, Li Kevin Wenliang, Christopher Mattern, Matthew Aitchison, Joel Veness
2024	J	`jnl`	Super-Exponential Regret for UCT, AlphaGo and Variants. CoRR Laurent Orseau, Rémi Munos
2023	J	`jnl`	Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search. CoRR Abbas Mehrabian, Ankit Anand, Hyunjik Kim, Nicolas Sonnerat, Matej Balog, Gheorghe Comanici, Tudor Berariu, Andrew Lee, Anian Ruoss, Anna Bulanova, Daniel Toyama, Sam Blackwell, Bernardino Romera-Paredes, Petar Velickovic, Laurent Orseau, Joonkyung Lee, Anurag Murty Naredla, Doina Precup, Adam Zsolt Wagner
2023	J	`jnl`	Language Modeling Is Compression. CoRR Grégoire Delétang, Anian Ruoss, Paul-Ambroise Duquenne, Elliot Catt, Tim Genewein, Christopher Mattern, Jordi Grau-Moya, Li Kevin Wenliang, Matthew Aitchison, Laurent Orseau, Marcus Hutter, Joel Veness
2023	A*	`conf`	Levin Tree Search with Context Models. IJCAI Laurent Orseau, Marcus Hutter, Levi H. S. Lelis
2023	J	`jnl`	Levin Tree Search with Context Models. CoRR Laurent Orseau, Marcus Hutter, Levi H. S. Lelis
2023	J	`jnl`	Line Search for Convex Minimization. CoRR Laurent Orseau, Marcus Hutter
2023	A*	`conf`	Memory-Based Meta-Learning on Non-Stationary Distributions. ICML Tim Genewein, Grégoire Delétang, Anian Ruoss, Li Kevin Wenliang, Elliot Catt, Vincent Dutordoir, Jordi Grau-Moya, Laurent Orseau, Marcus Hutter, Joel Veness
2023	J	`jnl`	Memory-Based Meta-Learning on Non-Stationary Distributions. CoRR Tim Genewein, Grégoire Delétang, Anian Ruoss, Li Kevin Wenliang, Elliot Catt, Vincent Dutordoir, Jordi Grau-Moya, Laurent Orseau, Marcus Hutter, Joel Veness
2022	A*	`conf`	Proving Theorems using Incremental Learning and Hindsight Experience Replay. ICML Eser Aygün, Ankit Anand, Laurent Orseau, Xavier Glorot, Stephen Marcus McAleer, Vlad Firoiu, Lei M. Zhang, Doina Precup, Shibl Mourad
2021	J	`jnl`	Isotuning With Applications To Scale-Free Online Learning. CoRR Laurent Orseau, Marcus Hutter
2021	A*	`conf`	Policy-Guided Heuristic Search with Guarantees. AAAI Laurent Orseau, Levi H. S. Lelis
2021	J	`jnl`	Policy-Guided Heuristic Search with Guarantees. CoRR Laurent Orseau, Levi H. S. Lelis
2021	J	`jnl`	Proving Theorems using Incremental Learning and Hindsight Experience Replay. CoRR Eser Aygün, Laurent Orseau, Ankit Anand, Xavier Glorot, Vlad Firoiu, Lei M. Zhang, Doina Precup, Shibl Mourad
2021	J	`jnl`	Training a First-Order Theorem Prover from Synthetic Data. CoRR Vlad Firoiu, Eser Aygün, Ankit Anand, Zafarali Ahmed, Xavier Glorot, Laurent Orseau, Lei M. Zhang, Doina Precup, Shibl Mourad
2020	A*	`conf`	Avoiding Side Effects By Considering Future Tasks. NeurIPS Victoria Krakovna, Laurent Orseau, Richard Ngo, Miljan Martic, Shane Legg
2020	J	`jnl`	Avoiding Side Effects By Considering Future Tasks. CoRR Victoria Krakovna, Laurent Orseau, Richard Ngo, Miljan Martic, Shane Legg
2020	J	`jnl`	Learning to Prove from Synthetic Theorems. CoRR Eser Aygün, Zafarali Ahmed, Ankit Anand, Vlad Firoiu, Xavier Glorot, Laurent Orseau, Doina Precup, Shibl Mourad
2020	A*	`conf`	Logarithmic Pruning is All You Need. NeurIPS Laurent Orseau, Marcus Hutter, Omar Rivasplata
2020	J	`jnl`	Logarithmic Pruning is All You Need. CoRR Laurent Orseau, Marcus Hutter, Omar Rivasplata
2020	A*	`conf`	Pitfalls of Learning a Reward Function Online. IJCAI Stuart Armstrong, Jan Leike, Laurent Orseau, Shane Legg
2020	J	`jnl`	Pitfalls of learning a reward function online. CoRR Stuart Armstrong, Jan Leike, Laurent Orseau, Shane Legg
2019	A*	`conf`	An Investigation of Model-Free Planning. ICML Arthur Guez, Mehdi Mirza, Karol Gregor, Rishabh Kabra, Sébastien Racanière, Theophane Weber, David Raposo, Adam Santoro, Laurent Orseau, Tom Eccles, Greg Wayne, David Silver, Timothy P. Lillicrap
2019	J	`jnl`	An investigation of model-free planning. CoRR Arthur Guez, Mehdi Mirza, Karol Gregor, Rishabh Kabra, Sébastien Racanière, Théophane Weber, David Raposo, Adam Santoro, Laurent Orseau, Tom Eccles, Greg Wayne, David Silver, Timothy P. Lillicrap
2019	A*	`conf`	Iterative Budgeted Exponential Search. IJCAI Malte Helmert, Tor Lattimore, Levi H. S. Lelis, Laurent Orseau, Nathan R. Sturtevant
2019	J	`jnl`	Iterative Budgeted Exponential Search. CoRR Malte Helmert, Tor Lattimore, Levi H. S. Lelis, Laurent Orseau, Nathan R. Sturtevant
2019	—	`conf`	Penalizing Side Effects using Stepwise Relative Reachability. AISafety@IJCAI Victoria Krakovna, Laurent Orseau, Miljan Martic, Shane Legg
2019	J	`jnl`	Soft-Bayes: Prod for Mixtures of Experts with Log-Loss. CoRR Laurent Orseau, Tor Lattimore, Shane Legg
2019	J	`jnl`	Zooming Cautiously: Linear-Memory Heuristic Search With Node Expansion Guarantees. CoRR Laurent Orseau, Levi H. S. Lelis, Tor Lattimore
2018	J	`jnl`	Agents and Devices: A Relative Definition of Agency. CoRR Laurent Orseau, Simon McGregor McGill, Shane Legg
2018	J	`jnl`	Measuring and avoiding side effects using relative reachability. CoRR Victoria Krakovna, Laurent Orseau, Miljan Martic, Shane Legg
2018	A*	`conf`	Single-Agent Policy Tree Search With Guarantees. NeurIPS Laurent Orseau, Levi Lelis, Tor Lattimore, Theophane Weber
2018	J	`jnl`	Single-Agent Policy Tree Search With Guarantees. CoRR Laurent Orseau, Levi H. S. Lelis, Tor Lattimore, Théophane Weber
2017	J	`jnl`	AI Safety Gridworlds. CoRR Jan Leike, Miljan Martic, Victoria Krakovna, Pedro A. Ortega, Tom Everitt, Andrew Lefrancq, Laurent Orseau, Shane Legg
2017	A*	`conf`	On Thompson Sampling and Asymptotic Optimality. IJCAI Jan Leike, Tor Lattimore, Laurent Orseau, Marcus Hutter
2017	A*	`conf`	Reinforcement Learning with a Corrupted Reward Channel. IJCAI Tom Everitt, Victoria Krakovna, Laurent Orseau, Shane Legg
2017	J	`jnl`	Reinforcement Learning with a Corrupted Reward Channel. CoRR Tom Everitt, Victoria Krakovna, Laurent Orseau, Marcus Hutter, Shane Legg
2017	B	`conf`	Soft-Bayes: Prod for Mixtures of Experts with Log-Loss. ALT Laurent Orseau, Tor Lattimore, Shane Legg
2016	A	`conf`	Safely Interruptible Agents. UAI Laurent Orseau, Stuart Armstrong
2016	A	`conf`	Thompson Sampling is Asymptotically Optimal in General Environments. UAI Jan Leike, Tor Lattimore, Laurent Orseau, Marcus Hutter
2016	J	`jnl`	Thompson Sampling is Asymptotically Optimal in General Environments. CoRR Jan Leike, Tor Lattimore, Laurent Orseau, Marcus Hutter
2015	A*	`conf`	Online Learning of k-CNF Boolean Functions. IJCAI Joel Veness, Marcus Hutter, Laurent Orseau, Marc G. Bellemare
2014	—	`ed.`	Artificial General Intelligence - 7th International Conference, AGI 2014, Quebec City, QC, Canada, August 1-4, 2014. Proceedings AGI Ben Goertzel, Laurent Orseau, Javier Snaider
2014	—	`conf`	Teleporting Universal Intelligent Agents. AGI Laurent Orseau
2014	—	`conf`	The Multi-slot Framework: A Formal Model for Multiple, Copiable AIs. AGI Laurent Orseau
2014	J	`jnl`	Universal knowledge-seeking agents. Theor. Comput. Sci. Laurent Orseau
2013	J	`jnl`	Asymptotic non-learnability of universal agents with computable horizon functions. Theor. Comput. Sci. Laurent Orseau
2013	J	`jnl`	Reinforcement Learning (Dagstuhl Seminar 13321). Dagstuhl Reports Peter Auer, Marcus Hutter, Laurent Orseau
2013	B	`conf`	Universal Knowledge-Seeking Agents for Stochastic Environments. ALT Laurent Orseau, Tor Lattimore, Marcus Hutter
2012	—	`conf`	Memory Issues of Intelligent Agents. AGI Laurent Orseau, Mark B. Ring
2012	—	`conf`	Space-Time Embedded Intelligence. AGI Laurent Orseau, Mark B. Ring
2011	—	`conf`	Delusion, Survival, and Intelligent Agents. AGI Mark B. Ring, Laurent Orseau
2011	—	`conf`	Self-Modification and Mortality in Artificial Agents. AGI Laurent Orseau, Mark B. Ring
2011	B	`conf`	Universal Knowledge-Seeking Agents. ALT Laurent Orseau
2010	B	`conf`	Optimality Issues of Universal Greedy Agents with Static Priors. ALT Laurent Orseau
2007	—	`—`	Imitation algorithmique: apprentissage incrémental en-ligne de séquences. (Algorithmic imitation: online incremental leaning of sequences). Laurent Orseau
2007	A*	`conf`	Learning to Count by Think Aloud Imitation. IJCAI Laurent Orseau
2005	—	`conf`	Short Term Memories and Forcing the Re-use of Knowledge for Generalization. ICANN (2) Laurent Orseau