Shane Legg
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
8
Active years
2004–2024
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICML | Position: Levels of AGI for Operationalizing Progress on the Path to AGI. | Meredith Ringel Morris, Jascha Sohl-Dickstein, Noah Fiedel, Tris Warkentin, Allan Dafoe, Aleksandra Faust, Clment Farabet, Shane Legg |
| 2023 | ACL | Randomized Positional Encodings Boost Length Generalization of Transformers. | Anian Ruoss, Grgoire Deltang, Tim Genewein, Jordi Grau-Moya, Rbert Csords, Mehdi Bennani, Shane Legg, Joel Veness |
| 2023 | ICLR | Neural Networks and the Chomsky Hierarchy. | Grgoire Deltang, Anian Ruoss, Jordi Grau-Moya, Tim Genewein, Li Kevin Wenliang, Elliot Catt, Chris Cundy, Marcus Hutter, Shane Legg, Joel Veness, Pedro A. Ortega |
| 2021 | AAAI | Agent Incentives: A Causal Perspective. | Tom Everitt, Ryan Carey, Eric D. Langlois, Pedro A. Ortega, Shane Legg |
| 2021 | ICLR | Quantifying Differences in Reward Functions. | Adam Gleave, Michael Dennis, Shane Legg, Stuart Russell, Jan Leike |
| 2020 | ICML | Learning Human Objectives by Evaluating Hypothetical Behavior. | Siddharth Reddy, Anca D. Dragan, Sergey Levine, Shane Legg, Jan Leike |
| 2020 | IJCAI | Pitfalls of Learning a Reward Function Online. | Stuart Armstrong, Jan Leike, Laurent Orseau, Shane Legg |
| 2019 | IJCAI | Modeling AGI Safety Frameworks with Causal Influence Diagrams. | Tom Everitt, Ramana Kumar, Victoria Krakovna, Shane Legg |
| 2019 | IJCAI | Penalizing Side Effects using Stepwise Relative Reachability. | Victoria Krakovna, Laurent Orseau, Miljan Martic, Shane Legg |
| 2018 | ICLR | Noisy Networks For Exploration. | Meire Fortunato, Mohammad Gheshlaghi Azar, Bilal Piot, Jacob Menick, Matteo Hessel, Ian Osband, Alex Graves, Volodymyr Mnih, Rmi Munos, Demis Hassabis, Olivier Pietquin, Charles Blundell, Shane Legg |
| 2018 | ICML | IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures. | Lasse Espeholt, Hubert Soyer, Rmi Munos, Karen Simonyan, Volodymyr Mnih, Tom Ward, Yotam Doron, Vlad Firoiu, Tim Harley, Iain Dunning, Shane Legg, Koray Kavukcuoglu |
| 2017 | ALT | Soft-Bayes: Prod for Mixtures of Experts with Log-Loss. | Laurent Orseau, Tor Lattimore, Shane Legg |
| 2017 | IJCAI | Reinforcement Learning with a Corrupted Reward Channel. | Tom Everitt, Victoria Krakovna, Laurent Orseau, Shane Legg |
| 2006 | ALT | Is There an Elegant Universal Theory of Prediction? | Shane Legg |
| 2005 | GECCO | Fitness uniform deletion: a simple way to preserve diversity. | Shane Legg, Marcus Hutter |
| 2005 | IJCAI | A Universal Measure of Intelligence for Artificial Agents. | Shane Legg, Marcus Hutter |
| 2004 | CEC | Tournament versus fitness uniform selection. | Shane Legg, Marcus Hutter, Akshat Kumar |