Lever, Guy

17 publications

ICLR 2024 Generative Adversarial Equilibrium Solvers Denizalp Goktas, David C. Parkes, Ian Gemp, Luke Marris, Georgios Piliouras, Romuald Elie, Guy Lever, Andrea Tacchetti

CoRL 2024 Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning Dhruva Tirumala, Markus Wulfmeier, Ben Moran, Sandy Huang, Jan Humplik, Guy Lever, Tuomas Haarnoja, Leonard Hasenclever, Arunkumar Byravan, Nathan Batchelor, Neil Sreendra, Kushal Patel, Marlon Gwira, Francesco Nori, Martin Riedmiller, Nicolas Heess

ICLR 2024 Replay Across Experiments: A Natural Extension of Off-Policy RL Dhruva Tirumala, Thomas Lampe, Jose Enrique Chen, Tuomas Haarnoja, Sandy Huang, Guy Lever, Ben Moran, Tim Hertweck, Leonard Hasenclever, Martin Riedmiller, Nicolas Heess, Markus Wulfmeier

ICLR 2020 A Generalized Training Approach for Multiagent Learning Paul Muller, Shayegan Omidshafiei, Mark Rowland, Karl Tuyls, Julien Perolat, Siqi Liu, Daniel Hennes, Luke Marris, Marc Lanctot, Edward Hughes, Zhe Wang, Guy Lever, Nicolas Heess, Thore Graepel, Remi Munos

NeurIPS 2019 Biases for Emergent Communication in Multi-Agent Reinforcement Learning Tom Eccles, Yoram Bachrach, Guy Lever, Angeliki Lazaridou, Thore Graepel

ICLR 2019 Emergent Coordination Through Competition Siqi Liu, Guy Lever, Josh Merel, Saran Tunyasuvunakool, Nicolas Heess, Thore Graepel

JMLR 2016 Approximate Newton Methods for Policy Search in Markov Decision Processes Thomas Furmston, Guy Lever, David Barber

AAAI 2016 Compressed Conditional Mean Embeddings for Model-Based Reinforcement Learning Guy Lever, John Shawe-Taylor, Ronnie Stafford, Csaba Szepesvári

AISTATS 2015 Modelling Policies in MDPs in Reproducing Kernel Hilbert Space Guy Lever, Ronnie Stafford

ICML 2014 Deterministic Policy Gradient Algorithms David Silver, Guy Lever, Nicolas Heess, Thomas Degris, Daan Wierstra, Martin Riedmiller

ICML 2012 Conditional Mean Embeddings as Regressors Steffen Grünewälder, Guy Lever, Arthur Gretton, Luca Baldassarre, Sam Patterson, Massimiliano Pontil

AISTATS 2012 Data Dependent Kernels in Nearly-Linear Time Guy Lever, Tom Diethe, John Shawe-Taylor

ICML 2012 Modelling Transition Dynamics in MDPs with RKHS Embeddings Steffen Grünewälder, Guy Lever, Luca Baldassarre, Massimiliano Pontil, Arthur Gretton

ALT 2010 Distribution-Dependent PAC-Bayes Priors Guy Lever, François Laviolette, John Shawe-Taylor

AISTATS 2010 Relating Function Class Complexity and Cluster Structure in the Function Domain with Applications to Transduction Guy Lever

COLT 2009 Predicting the Labelling of a Graph via Minimum $p$-Seminorm Interpolation Mark Herbster, Guy Lever

NeurIPS 2008 Online Prediction on Large Diameter Graphs Mark Herbster, Guy Lever, Massimiliano Pontil