Philip Ball

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All published works

Action	Title	Year	Authors
+	Mathematicians discover new class of shape seen throughout nature	2024	Philip Ball
+	A prudent separation	2022	Philip Ball
+	What the COVID-19 pandemic reveals about science, policy and society	2021	Philip Ball
+	Revisiting Design Choices in Model-Based Offline Reinforcement Learning.	2021	Cong Lu Philip Ball Jack Parker-Holder Michael A. Osborne Stephen Roberts
+ PDF Chat	Why England’s COVID ‘freedom day’ alarms researchers	2021	Philip Ball
+	OffCon$^3$: What is state of the art anyway?	2021	Philip Ball Stephen Roberts
+ PDF Chat	Active Inference: Demystified and Compared	2021	Noor Sajid Philip Ball Thomas Parr Karl J. Friston
+ PDF Chat	Gender issues in fundamental physics: Strumia’s bibliometric analysis fails to account for key confounders and confuses correlation with causation	2021	Philip Ball T. Ben Britton Erin Hengel Philip Moriarty Rachel A. Oliver Gina Rippon Angela Saini Jessica Wade
+	Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment	2021	Philip Ball Cong Lu Jack Parker-Holder Stephen Roberts
+	On Optimism in Model-Based Reinforcement Learning.	2020	Aldo Pacchiano Philip Ball Jack Parker-Holder Krzysztof Choromański Stephen Roberts
+	Anti-vaccine movement could undermine efforts to end coronavirus pandemic, researchers warn	2020	Philip Ball
+	Ready Policy One: World Building Through Active Learning	2020	Philip Ball Jack Parker-Holder Aldo Pacchiano Krzysztof Choromański Stephen Roberts
+	A Study on Efficiency in Continual Learning Inspired by Human Learning	2020	Philip Ball Yingzhen Li Angus Lamb Cheng Zhang
+	The Sensitivity of Counterfactual Fairness to Unmeasured Confounding	2019	Niki Kilbertus Philip Ball Matt J. Kusner Adrian Weller Ricardo Silva
+ PDF Chat	Polynesian people used binary numbers 600 years ago	2013	Philip Ball
+ PDF Chat	Mathematician wins award for shaping algebra	2013	Philip Ball
+ PDF Chat	Proof claimed for deep connection between primes	2012	Philip Ball
+ PDF Chat	Shock relief	2012	Philip Ball
+	Spreading It Around: Mobility, Disease and Epidemics	2012	Philip Ball
+	Why we should love logarithms	2008	Philip Ball

Common Coauthors

Coauthor	Papers Together
Stephen Roberts	5
Jack Parker-Holder	4
Cong Lu	2
Krzysztof Choromański	2
Aldo Pacchiano	2
Adrian Weller	1
T. Ben Britton	1
Gina Rippon	1
Angela Saini	1
Jessica Wade	1
Noor Sajid	1
Philip Moriarty	1
Angus Lamb	1
Rachel A. Oliver	1
Karl J. Friston	1
Ricardo Silva	1
Cheng Zhang	1
Niki Kilbertus	1
Matt J. Kusner	1
Michael A. Osborne	1
Erin Hengel	1
Thomas Parr	1
Yingzhen Li	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Soft Actor-Critic Algorithms and Applications	2018	Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha Jie Tan Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel	5
+	Model-Ensemble Trust-Region Policy Optimization	2018	Thanard Kurutach Ignasi Clavera Yan Duan Aviv Tamar Pieter Abbeel	4
+	Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models	2018	Kurtland Chua Roberto Calandra Rowan McAllister Sergey Levine	4
+ PDF Chat	Mastering Atari, Go, chess and shogi by planning with a learned model	2020	Julian Schrittwieser Ioannis Antonoglou Thomas Hubert Karen Simonyan Laurent Sifre Simon Schmitt Arthur Guez Edward Lockhart Demis Hassabis Thore Graepel	3
+	Recurrent World Models Facilitate Policy Evolution	2018	David Ha Jürgen Schmidhuber	2
+	Behavior Regularized Offline Reinforcement Learning	2019	Yifan Wu George Tucker Ofir Nachum	2
+	Curiosity-driven Exploration by Self-supervised Prediction	2017	Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell	2
+	Conservative Q-Learning for Offline Reinforcement Learning	2020	Aviral Kumar Aurick Zhou George Tucker Sergey Levine	2
+	Deep Exploration via Bootstrapped DQN	2016	Ian Osband Charles Blundell Alexander Pritzel Benjamin Van Roy	2
+	Dream to Control: Learning Behaviors by Latent Imagination	2019	Danijar Hafner Timothy Lillicrap Jimmy Ba Mohammad Norouzi	2
+	Planning to Explore via Self-Supervised World Models	2020	R. Sekar Oleh Rybkin Kostas Daniilidis Pieter Abbeel Danijar Hafner Deepak Pathak	2
+	Addressing Function Approximation Error in Actor-Critic Methods	2018	Scott Fujimoto Herke van Hoof David Meger	2
+	MOPO: Model-based Offline Policy Optimization	2020	Tianhe Yu Garrett Thomas Lantao Yu Stefano Ermon James Zou Sergey Levine Chelsea Finn Tengyu Ma	2
+	Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles	2016	Balaji Lakshminarayanan Alexander Pritzel Charles Blundell	2
+	Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor	2018	Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine	2
+	When to Trust Your Model: Model-Based Policy Optimization	2019	Michael Jänner Justin Fu Marvin Zhang Sergey Levine	2
+	Exploration by Random Network Distillation	2018	Yuri Burda Harrison Edwards Amos Storkey Oleg Klimov	2
+	Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems	2020	Sergey Levine Aviral Kumar George Tucker Justin Fu	2
+ PDF Chat	Immunization of complex networks	2002	Romualdo Pastor‐Satorras Alessandro Vespignani	1
+ PDF Chat	Exact and Approximate Arithmetic in an Amazonian Indigene Group	2004	Pierre Pica Cathy Lemer Véronique Izard Stanislas Dehaene	1
+	Understanding individual human mobility patterns	2008	Marta C. González César A. Hidalgo Albert‐László Barabási	1
+ PDF Chat	Mangarevan invention of binary steps for easier calculation	2013	Andrea Bender Sieghard Beller	1
+ PDF Chat	Stochastic thermodynamics, fluctuation theorems and molecular machines	2012	Udo Seifert	1
+ PDF Chat	Fairness through awareness	2012	Cynthia Dwork Moritz Hardt Toniann Pitassi Omer Reingold Richard S. Zemel	1
+ PDF Chat	Identification of influential spreaders in complex networks	2010	Maksim Kitsak Lazaros K. Gallos Shlomo Havlin Fredrik Liljeros Lev Muchnik H. Eugene Stanley Hernán A. Makse	1
+	Developmental and individual differences in pure numerical estimation.	2006	Julie L. Booth Robert S. Siegler	1
+	Counterfactual Graphical Models for Longitudinal Mediation Analysis With Unobserved Confounding	2013	Ilya Shpitser	1
+ PDF Chat	Log or Linear? Distinct Intuitions of the Number Scale in Western and Amazonian Indigene Cultures	2008	Stanislas Dehaene Véronique Izard Elizabeth S. Spelke Pierre Pica	1
+	Iterative conditional fitting for Gaussian ancestral graph models	2004	Mathias Drton Thomas S. Richardson	1
+	Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning	2015	Shakir Mohamed Danilo Jimenez Rezende	1
+	Debunking Myths about Gender and Mathematics Performance	2011	Jonathan M. Kane Janet E. Mertz	1
+	Contextual Markov Decision Processes	2015	Assaf Hallak Dotan Di Castro Shie Mannor	1
+	Variance-Based Rewards for Approximate Bayesian Reinforcement Learning	2012	Jonathan Sorg Satinder Singh Richard L. Lewis	1
+	Forecast and control of epidemics in a globalized world	2004	Lars Hufnagel Dirk Brockmann T. Geisel	1
+ PDF Chat	The Science of Sex Differences in Science and Mathematics	2007	Diane F. Halpern Camilla Persson Benbow David C. Geary Ruben C. Gur Janet Shibley Hyde Morton Ann Gernsbacher	1
+ PDF Chat	Epidemic Spreading in Scale-Free Networks	2001	Romualdo Pastor‐Satorras Alessandro Vespignani	1
+	Sex Differences in Intrinsic Aptitude for Mathematics and Science?: A Critical Review.	2005	Elizabeth S. Spelke	1
+ PDF Chat	Fairness in Criminal Justice Risk Assessments: The State of the Art	2018	Richard A. Berk Hoda Heidari Shahin Jabbari Michael Kearns Aaron Roth	1
+	Reinforcement Learning for Pivoting Task	2017	Rika Antonova Silvia Cruciani Christian Smith Danica Kragić	1
+ PDF Chat	Modelling to contain pandemics	2009	Joshua M. Epstein	1
+ PDF Chat	Domain randomization for transferring deep neural networks from simulation to the real world	2017	Josh Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel	1
+ PDF Chat	Markov Decision Processes: A Tool for Sequential Decision Making under Uncertainty	2009	Oğuzhan Alagöz Heather Hsu Andrew J. Schaefer Mark S. Roberts	1
+ PDF Chat	Boltzmann Exploration Done Right	2017	Nicolò Cesa‐Bianchi Claudio Gentile Gábor Lugosi Gergely Neu	1
+	The free energy principle for action and perception: A mathematical review	2017	Christopher L. Buckley Chang Sub Kim Simon McGregor Anil K. Seth	1
+	Spectral Norm Regularization for Improving the Generalizability of Deep Learning	2017	Yuichi Yoshida Takeru Miyato	1
+	Proximal Policy Optimization Algorithms	2017	John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov	1
+	Imagination-Augmented Agents for Deep Reinforcement Learning	2017	Théophane Weber Sébastien Racanière David Reichert Lars Buesing Arthur Guez Danilo Jimenez Rezende Adrià Puigdomènech Badia Oriol Vinyals Nicolas Heess Yujia Li	1
+	Benchmark Environments for Multitask Learning in Continuous Domains	2017	Peter Henderson Wei-Di Chang Florian Shkurti Johanna Hansen David Meger Gregory Dudek	1
+	Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning	2017	Christoph Dann Tor Lattimore Emma Brunskill	1
+ PDF Chat	The Effect of Mask Use on the Spread of Influenza During a Pandemic	2010	Nicole C. J. Brienen Aura Timen Jacco Wallinga Jim van Steenbergen Peter Teunis	1