Guy Lever

Most-cited papers

Deterministic Policy Gradient Algorithms
David Silver, Guy Lever, N. Heess, T. Degris +2 more
2014International Conference on Machine Learning4,677 citations
Semantic Scholar
Value-Decomposition Networks For Cooperative Multi-Agent Learning
P. Sunehag, Guy Lever, A. Gruslys, W. Czarnecki +7 more
2017arXiv.org1,428 citations
Semantic Scholar
Value-Decomposition Networks For Cooperative Multi-Agent Learning Based On Team Reward
P. Sunehag, Guy Lever, A. Gruslys, W. Czarnecki +7 more
2018Adaptive Agents and Multi-Agent Systems976 citations
Semantic Scholar
Human-level performance in 3D multiplayer games with population-based reinforcement learning
M. Jaderberg, W. Czarnecki, Iain Dunning, Luke Marris +14 more
2018Science836 citations Open access
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Learning agile soccer skills for a bipedal robot with deep reinforcement learning
Tuomas Haarnoja, Ben Moran, Guy Lever, Sandy H. Huang +24 more
2023Science Robotics312 citations Open access
Semantic Scholar
Nesterov's accelerated gradient and momentum as approximations to regularised update descent
Aleksandar Botev, Guy Lever, D. Barber
2016IEEE International Joint Conference on Neural Network174 citations Open access
Semantic Scholar
From Motor Control to Team Play in Simulated Humanoid Football
Siqi Liu, Guy Lever, Zhe Wang, J. Merel +18 more
2021Sci. Robotics171 citations Open access
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Conditional mean embeddings as regressors
S. Grünewälder, Guy Lever, Luca Baldassarre, Sam Patterson +2 more
2012International Conference on Machine Learning171 citations
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Emergent Coordination Through Competition
Siqi Liu, Guy Lever, J. Merel, S. Tunyasuvunakool +2 more
2019International Conference on Learning Representations160 citations
Semantic Scholar
Modelling transition dynamics in MDPs with RKHS embeddings
S. Grünewälder, Guy Lever, Luca Baldassarre, M. Pontil +1 more
2012International Conference on Machine Learning141 citations
Semantic Scholar
Tighter PAC-Bayes bounds through distribution-dependent priors
Guy Lever, F. Laviolette, J. Shawe-Taylor
2013Theoretical Computer Science123 citations Open access
Semantic Scholar
A Generalized Training Approach for Multiagent Learning
Paul Muller, Shayegan Omidshafiei, Mark Rowland, K. Tuyls +11 more
2019International Conference on Learning Representations118 citations
Semantic Scholar
Biases for Emergent Communication in Multi-agent Reinforcement Learning
Tom Eccles, Yoram Bachrach, Guy Lever, Angeliki Lazaridou +1 more
2019Neural Information Processing Systems94 citations
Semantic Scholar
Predicting the Labelling of a Graph via Minimum $p$-Seminorm Interpolation
M. Herbster, Guy Lever
2009Annual Conference Computational Learning Theory58 citations
Semantic Scholar
Online Prediction on Large Diameter Graphs
M. Herbster, Guy Lever, M. Pontil
2008Neural Information Processing Systems53 citations
Semantic Scholar
Distribution-Dependent PAC-Bayes Priors
Guy Lever, F. Laviolette, J. Shawe-Taylor
2010International Conference on Algorithmic Learning Theory47 citations
Semantic Scholar
Modelling Policies in MDPs in Reproducing Kernel Hilbert Space
Guy Lever, Ronnie Stafford
2015International Conference on Artificial Intelligence and Statistics39 citations
Semantic Scholar
Approximate Newton Methods for Policy Search in Markov Decision Processes
T. Furmston, Guy Lever, D. Barber
2016Journal of machine learning research33 citations
Semantic Scholar
Compressed Conditional Mean Embeddings for Model-Based Reinforcement Learning
Guy Lever, J. Shawe-Taylor, Ronnie Stafford, Csaba Szepesvari
2016AAAI Conference on Artificial Intelligence28 citations Open access
Semantic Scholar
Reinforcement Learning Agents acquire Flocking and Symbiotic Behaviour in Simulated Ecosystems
P. Sunehag, Guy Lever, Siqi Liu, J. Merel +5 more
2019Artificial Life Conference Proceedings22 citations
Semantic Scholar
The Body is Not a Given: Joint Agent Policy Learning and Morphology Evolution
Dylan Banarse, Yoram Bachrach, Siqi Liu, Guy Lever +4 more
2019Adaptive Agents and Multi-Agent Systems13 citations
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Generative Adversarial Equilibrium Solvers
Denizalp Goktas, D. Parkes, I. Gemp, Luke Marris +4 more
2023International Conference on Learning Representations10 citations Open access
Semantic Scholar
Data dependent kernels in nearly-linear time
Guy Lever, Tom Diethe, J. Shawe-Taylor
2011International Conference on Artificial Intelligence and Statistics9 citations
Semantic Scholar
Developing, evaluating and scaling learning agents in multi-agent environments
I. Gemp, Thomas W. Anthony, Yoram Bachrach, Avishkar Bhoopchand +23 more
2022AI Communications4 citations Open access
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Modeling transition dynamics in MDPs with RKHS embeddings of conditional distributions
S. Grünewälder, Luca Baldassarre, M. Pontil, A. Gretton +1 more
2011arXiv.org4 citations
Semantic Scholar
A Gauss-Newton Method for Markov Decision Processes
T. Furmston, Guy Lever
2015arXiv.org1 citations
Semantic Scholar
Learning Transition Dynamics in MDPs with Online Regression and Greedy Feature Selection∗
Guy Lever
20141 citations
Semantic Scholar
Relating Function Class Complexity and Cluster Structure in the Function Domain with Applications to Transduction
Guy Lever
2010International Conference on Artificial Intelligence and Statistics1 citations
Semantic Scholar
Convergence Analysis of the Approximate Newton Method for Markov Decision Processes
T. Furmston, Guy Lever
20130 citations
Semantic Scholar
Exploiting structure defined by data in machine learning : some new analyses
Guy Lever
20110 citations
Semantic Scholar
Best Approximation with Laplacian p-Norms to Predict the Labeling of a Graph
M. Herbster, Guy Lever
20090 citations
Semantic Scholar