Shimon Whiteson

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2003–2025

Best venue rank

Where they publish

Papers

96 indexed papers, newest first.

Year	Venue	Title	Authors
2025	IROS	IGDrivSim: A Benchmark for the Imitation Gap in Autonomous Driving.	Clmence Grislain, Risto Vuorio, Cong Lu, Shimon Whiteson
2024	CoRL	Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling.	Aman Sinha, Payam Nikdel, Supratik Paul, Shimon Whiteson
2024	ICLR	Discovering Temporally-Aware Reinforcement Learning Algorithms.	Matthew Thomas Jackson, Chris Lu, Louis Kirsch, Robert Tjarko Lange, Shimon Whiteson, Jakob Nicolaus Foerster
2024	ICML	Bayesian Exploration Networks.	Mattie Fellows, Brandon Kaplowitz, Christian Schrder de Witt, Shimon Whiteson
2024	ICML	Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control.	Zheng Xiong, Risto Vuorio, Jacob Beck, Matthieu Zimmer, Kun Shao, Shimon Whiteson
2024	ICRA	UniGen: Unified Modeling of Initial Agent States and Trajectories for Generating Autonomous Driving Scenarios.	Reza Mahjourian, Rongbing Mu, Valerii Likhosherstov, Paul Mougin, Xiukun Huang, Joo V. Messias, Shimon Whiteson
2023	ICLR	Cheap Talk Discovery and Utilization in Multi-Agent Reinforcement Learning.	Yat Long Lo, Christian Schrder de Witt, Samuel Sokota, Jakob Nicolaus Foerster, Shimon Whiteson
2023	ICML	Why Target Networks Stabilise Temporal Difference Methods.	Mattie Fellows, Matthew J. A. Smith, Shimon Whiteson
2023	ICML	Universal Morphology Control via Contextual Modulation.	Zheng Xiong, Jacob Beck, Shimon Whiteson
2023	IROS	Hierarchical Imitation Learning for Stochastic Environments.	Maximilian Igl, Punit Shah, Paul Mougin, Sirish Srinivasan, Tarun Gupta, Brandyn White, Kyriacos Shiarlis, Shimon Whiteson
2023	IROS	Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios.	Yiren Lu, Justin Fu, George Tucker, Xinlei Pan, Eli Bronstein, Rebecca Roelofs, Benjamin Sapp, Brandyn White, Aleksandra Faust, Shimon Whiteson, Dragomir Anguelov, Sergey Levine
2022	AAAI	Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency.	Mingfei Sun, Sam Devlin, Katja Hofmann, Shimon Whiteson
2022	CoRL	Hypernetworks in Meta-Reinforcement Learning.	Jacob Beck, Matthew Thomas Jackson, Risto Vuorio, Shimon Whiteson
2022	CoRL	Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula.	Eli Bronstein, Sirish Srinivasan, Supratik Paul, Aman Sinha, Matthew O'Kelly, Payam Nikdel, Shimon Whiteson
2022	CoRL	Particle-Based Score Estimation for State Space Model Learning in Autonomous Driving.	Angad Singh, Omar Makhlouf, Maximilian Igl, Joo V. Messias, Arnaud Doucet, Shimon Whiteson
2022	ICML	Generalized Beliefs for Cooperative AI.	Darius Muglich, Luisa M. Zintgraf, Christian A. Schrder de Witt, Shimon Whiteson, Jakob N. Foerster
2022	ICML	Communicating via Markov Decision Processes.	Samuel Sokota, Christian A. Schrder de Witt, Maximilian Igl, Luisa M. Zintgraf, Philip H. S. Torr, Martin Strohmeier, J. Zico Kolter, Shimon Whiteson, Jakob N. Foerster
2022	ICRA	Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation.	Maximilian Igl, Daewoo Kim, Alex Kuefler, Paul Mougin, Punit Shah, Kyriacos Shiarlis, Dragomir Anguelov, Mark Palatucci, Brandyn White, Shimon Whiteson
2022	IROS	Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving.	Eli Bronstein, Mark Palatucci, Dominik Notz, Brandyn White, Alex Kuefler, Yiren Lu, Supratik Paul, Payam Nikdel, Paul Mougin, Hongge Chen, Justin Fu, Austin Abrams, Punit Shah, Evan Racah, Benjamin Frenkel, Shimon Whiteson, Dragomir Anguelov
2021	AAAI	Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning.	Shangtong Zhang, Bo Liu, Shimon Whiteson
2021	ICLR	RODE: Learning Roles to Decompose Multi-Agent Tasks.	Tonghan Wang, Tarun Gupta, Anuj Mahajan, Bei Peng, Shimon Whiteson, Chongjie Zhang
2021	ICLR	Transient Non-stationarity and Generalisation in Deep Reinforcement Learning.	Maximilian Igl, Gregory Farquhar, Jelena Luketina, Wendelin Boehmer, Shimon Whiteson
2021	ICLR	My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control.	Vitaly Kurin, Maximilian Igl, Tim Rocktschel, Wendelin Boehmer, Shimon Whiteson
2021	ICML	UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning.	Tarun Gupta, Anuj Mahajan, Bei Peng, Wendelin Boehmer, Shimon Whiteson
2021	ICML	Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning.	Shariq Iqbal, Christian A. Schrder de Witt, Bei Peng, Wendelin Boehmer, Shimon Whiteson, Fei Sha
2021	ICML	Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning.	Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar
2021	ICML	Average-Reward Off-Policy Policy Evaluation with Function Approximation.	Shangtong Zhang, Yi Wan, Richard S. Sutton, Shimon Whiteson
2021	ICML	Breaking the Deadly Triad with a Target Network.	Shangtong Zhang, Hengshuai Yao, Shimon Whiteson
2021	ICML	Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning.	Luisa M. Zintgraf, Leo Feng, Cong Lu, Maximilian Igl, Kristian Hartikainen, Katja Hofmann, Shimon Whiteson
2021	IJCAI	Deep Residual Reinforcement Learning (Extended Abstract).	Shangtong Zhang, Wendelin Boehmer, Shimon Whiteson
2020	ICLR	Optimistic Exploration even with a Pessimistic Initialisation.	Tabish Rashid, Bei Peng, Wendelin Boehmer, Shimon Whiteson
2020	ICLR	VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning.	Luisa M. Zintgraf, Kyriacos Shiarlis, Maximilian Igl, Sebastian Schulze, Yarin Gal, Katja Hofmann, Shimon Whiteson
2020	ICML	Deep Coordination Graphs.	Wendelin Boehmer, Vitaly Kurin, Shimon Whiteson
2020	ICML	Growing Action Spaces.	Gregory Farquhar, Laura Gustafson, Zeming Lin, Shimon Whiteson, Nicolas Usunier, Gabriel Synnaeve
2020	ICML	GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values.	Shangtong Zhang, Bo Liu, Shimon Whiteson
2020	ICML	Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation.	Shangtong Zhang, Bo Liu, Hengshuai Yao, Shimon Whiteson
2020	UAI	Multitask Soft Option Learning.	Maximilian Igl, Andrew Gambardella, Jinke He, Nantas Nardelli, N. Siddharth, Wendelin Boehmer, Shimon Whiteson
2019	ICLR	Stable Opponent Shaping in Differentiable Games.	Alistair Letcher, Jakob N. Foerster, David Balduzzi, Tim Rocktschel, Shimon Whiteson
2019	ICML	Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning.	Jakob N. Foerster, H. Francis Song, Edward Hughes, Neil Burch, Iain Dunning, Shimon Whiteson, Matthew M. Botvinick, Michael Bowling
2019	ICML	A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs.	Jingkai Mao, Jakob N. Foerster, Tim Rocktschel, Maruan Al-Shedivat, Gregory Farquhar, Shimon Whiteson
2019	ICML	Fingerprint Policy Optimisation for Robust Reinforcement Learning.	Supratik Paul, Michael A. Osborne, Shimon Whiteson
2019	ICML	Fast Context Adaptation via Meta-Learning.	Luisa M. Zintgraf, Kyriacos Shiarlis, Vitaly Kurin, Katja Hofmann, Shimon Whiteson
2019	IJCAI	A Survey of Reinforcement Learning Informed by Natural Language.	Jelena Luketina, Nantas Nardelli, Gregory Farquhar, Jakob N. Foerster, Jacob Andreas, Edward Grefenstette, Shimon Whiteson, Tim Rocktschel
2019	ICRA	Learning From Demonstration in the Wild.	Feryal M. P. Behbahani, Kyriacos Shiarlis, Xi Chen, Vitaly Kurin, Sudhanshu Kasewa, Ciprian Stirbu, Joo Gomes, Supratik Paul, Frans A. Oliehoek, Joo V. Messias, Shimon Whiteson
2018	AAAI	Expected Policy Gradients.	Kamil Ciosek, Shimon Whiteson
2018	AAAI	Counterfactual Multi-Agent Policy Gradients.	Jakob N. Foerster, Gregory Farquhar, Triantafyllos Afouras, Nantas Nardelli, Shimon Whiteson
2018	AAAI	Alternating Optimisation and Quadrature for Robust Control.	Supratik Paul, Konstantinos I. Chatzilygeroudis, Kamil Ciosek, Jean-Baptiste Mouret, Michael A. Osborne, Shimon Whiteson
2018	ICLR	TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning.	Gregory Farquhar, Tim Rocktschel, Maximilian Igl, Shimon Whiteson
2018	ICLR	DiCE: The Infinitely Differentiable Monte-Carlo Estimator.	Jakob N. Foerster, Gregory Farquhar, Maruan Al-Shedivat, Tim Rocktschel, Eric P. Xing, Shimon Whiteson
2018	ICML	Fourier Policy Gradients.	Matthew Fellows, Kamil Ciosek, Shimon Whiteson
2018	ICML	DiCE: The Infinitely Differentiable Monte Carlo Estimator.	Jakob N. Foerster, Gregory Farquhar, Maruan Al-Shedivat, Tim Rocktschel, Eric P. Xing, Shimon Whiteson
2018	ICML	Deep Variational Reinforcement Learning for POMDPs.	Maximilian Igl, Luisa M. Zintgraf, Tuan Anh Le, Frank Wood, Shimon Whiteson
2018	ICML	QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning.	Tabish Rashid, Mikayel Samvelyan, Christian Schrder de Witt, Gregory Farquhar, Jakob N. Foerster, Shimon Whiteson
2018	ICML	TACO: Learning Task Decomposition via Temporal Alignment for Control.	Kyriacos Shiarlis, Markus Wulfmeier, Sasha Salter, Shimon Whiteson, Ingmar Posner
2017	AAAI	OFFER: Off-Environment Reinforcement Learning.	Kamil Andrzej Ciosek, Shimon Whiteson
2017	BMVC	Intro to Reinforcement Learning.	Shimon Whiteson
2017	ICML	Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning.	Jakob N. Foerster, Nantas Nardelli, Gregory Farquhar, Triantafyllos Afouras, Philip H. S. Torr, Pushmeet Kohli, Shimon Whiteson
2017	IROS	Acquiring social interaction behaviours for telepresence robots via deep learning from demonstration.	Kyriacos Shiarlis, Joo V. Messias, Shimon Whiteson
2017	ICRA	Rapidly exploring learning trees.	Kyriacos Shiarlis, Joo V. Messias, Shimon Whiteson
2017	UAI	Real-Time Resource Allocation for Tracking Systems.	Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek, Henri Bouma
2016	IJCAI	PAC Greedy Maximization with Efficient Bounds on Information Gain for Sensor Selection.	Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek
2016	WSDM	Multileave Gradient Descent for Fast Online Learning to Rank.	Anne Schuth, Harrie Oosterhuis, Shimon Whiteson, Maarten de Rijke
2015	AAAI	Exploiting Submodular Value Functions for Faster Dynamic Sensor Selection.	Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek
2015	ESANN	Pareto Local Search for MOMDP Planning.	Chiel Kooijman, Maarten de Waard, Maarten Inja, Diederik M. Roijers, Shimon Whiteson
2015	IJCAI	Point-Based Planning for Multi-Objective POMDPs.	Diederik Marijn Roijers, Shimon Whiteson, Frans A. Oliehoek
2015	SIGIR	Bayesian Ranker Comparison Based on Historical User Interactions.	Artem Grotov, Shimon Whiteson, Maarten de Rijke
2015	WSDM	MergeRUCB: A Method for Large-Scale Online Ranker Evaluation.	Masrour Zoghi, Shimon Whiteson, Maarten de Rijke
2014	CIKM	Multileaved Comparisons for Fast Online Evaluation.	Anne Schuth, Floor Sietsma, Shimon Whiteson, Damien Lefortier, Maarten de Rijke
2014	ECIR	Optimizing Base Rankers Using Clicks - A Case Study Using BM25.	Anne Schuth, Floor Sietsma, Shimon Whiteson, Maarten de Rijke
2014	FDG	Design criteria for challenge balancing of personalised game spaces.	Sander Bakkes, Shimon Whiteson
2014	ICML	Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem.	Masrour Zoghi, Shimon Whiteson, Rmi Munos, Maarten de Rijke
2014	PPSN	Queued Pareto Local Search for Multi-Objective Optimization.	Maarten Inja, Chiel Kooijman, Maarten de Waard, Diederik M. Roijers, Shimon Whiteson
2014	WSDM	Relative confidence sampling for efficient on-line ranker evaluation.	Masrour Zoghi, Shimon Whiteson, Maarten de Rijke, Rmi Munos
2013	CIKM	Lerot: an online learning to rank framework.	Anne Schuth, Katja Hofmann, Shimon Whiteson, Maarten de Rijke
2013	GECCO	Critical factors in the performance of hyperNEAT.	Thomas G. van den Berg, Shimon Whiteson
2013	WSDM	Reusing historical interaction data for faster online learning to rank for IR.	Katja Hofmann, Anne Schuth, Shimon Whiteson, Maarten de Rijke
2012	AAMAS	V-MAX: tempered optimism for better PAC reinforcement learning.	Karun Rao, Shimon Whiteson
2012	CIKM	Estimating interleaved comparison outcomes from historical click data.	Katja Hofmann, Shimon Whiteson, Maarten de Rijke
2012	UAI	Exploiting Structure in Cooperative Bayesian Games.	Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J. Spaan
2011	CIKM	A probabilistic method for inferring preferences from clicks.	Katja Hofmann, Shimon Whiteson, Maarten de Rijke
2011	ECIR	Balancing Exploration and Exploitation in Learning to Rank Online.	Katja Hofmann, Shimon Whiteson, Maarten de Rijke
2011	GECCO	Critical factors in the performance of novelty search.	Steijn Kistemaker, Shimon Whiteson
2010	GECCO	Multi-task evolutionary shaping without pre-specified representations.	Matthijs Snel, Shimon Whiteson
2009	FUSION	Integrating distributed Bayesian inference and reinforcement learning for sensor management.	Corrado Grappiolo, Shimon Whiteson, Gregor Pavlin, Bram Bakker
2009	GECCO	Neuroevolutionary reinforcement learning for generalized helicopter control.	Rogier Koppejan, Shimon Whiteson
2009	ICMLA	Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs.	Mark Kroon, Shimon Whiteson
2009	ISDA	Postponed Updates for Temporal-Difference Reinforcement Learning.	Harm van Seijen, Shimon Whiteson
2007	AAAI	Temporal Difference and Policy Search Methods for Reinforcement Learning: An Empirical Comparison.	Matthew E. Taylor, Shimon Whiteson, Peter Stone
2007	AAAI	Stochastic Optimization for Collision Selection in High Energy Physics.	Shimon Whiteson, Daniel Whiteson
2006	AAAI	Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning.	Shimon Whiteson, Peter Stone
2006	GECCO	Comparing evolutionary and temporal difference methods in a reinforcement learning domain.	Matthew E. Taylor, Shimon Whiteson, Peter Stone
2006	GECCO	On-line evolutionary computation for reinforcement learning in stochastic domains.	Shimon Whiteson, Peter Stone
2005	AAAI	Improving Reinforcement Learning Function Approximators via Neuroevolution.	Shimon Whiteson
2005	GECCO	Automatic feature selection in neuroevolution.	Shimon Whiteson, Peter Stone, Kenneth O. Stanley, Risto Miikkulainen, Nate Kohl
2004	AAAI	Towards Autonomic Computing: Adaptive Job Routing and Scheduling.	Shimon Whiteson, Peter Stone
2003	GECCO	Evolving Keepaway Soccer Players through Task Decomposition.	Shimon Whiteson, Nate Kohl, Risto Miikkulainen, Peter Stone