Computing in Operations Research Using Julia. - Miles Lubin; Iain Dunning (INFORMS J. Comput., 2015)

A Course on Advanced Software Tools for Operations Research and Analytics. - Iain Dunning; Vishal Gupta 004; Angela King; Jerry Kung; Miles Lubin; John Silberholz (INFORMS Trans. Educ., 2015)

Reformulation versus cutting-planes for robust optimization. - Dimitris Bertsimas; Iain Dunning; Miles Lubin (Comput. Manag. Sci., 2016)

Multistage Robust Mixed-Integer Optimization with Adaptive Partitions. - Dimitris Bertsimas; Iain Dunning (Oper. Res., 2016)

Population Based Training of Neural Networks. - Max Jaderberg; Valentin Dalibard; Simon Osindero; Wojciech M. Czarnecki; Jeff Donahue; Ali Razavi; Oriol Vinyals; Tim Green; Iain Dunning; Karen Simonyan; Chrisantha Fernando; Koray Kavukcuoglu (CoRR, 2017)

Extended formulations in mixed integer conic quadratic programming. - Juan Pablo Vielma; Iain Dunning; Joey Huchette; Miles Lubin (Math. Program. Comput., 2017)

JuMP: A Modeling Language for Mathematical Optimization. - Iain Dunning; Joey Huchette; Miles Lubin (SIAM Rev., 2017)

IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures. - Lasse Espeholt; Hubert Soyer; Rémi Munos; Karen Simonyan; Volodymyr Mnih; Tom Ward; Yotam Doron; Vlad Firoiu; Tim Harley; Iain Dunning; Shane Legg; Koray Kavukcuoglu (ICML, 2018)

Inequity aversion improves cooperation in intertemporal social dilemmas. - Edward Hughes 001; Joel Z. Leibo; Matthew Phillips; Karl Tuyls; Edgar A. Duéñez-Guzmán; Antonio García Castañeda; Iain Dunning; Tina Zhu; Kevin R. McKee; Raphael Koster; Heather Roff; Thore Graepel (NeurIPS, 2018)

Learning Fast Optimizers for Contextual Stochastic Integer Programs. - Vinod Nair; Dj Dvijotham; Iain Dunning; Oriol Vinyals (UAI, 2018)

Inequity aversion resolves intertemporal social dilemmas. - Edward Hughes 001; Joel Z. Leibo; Matthew G. Philips; Karl Tuyls; Edgar A. Duéñez-Guzmán; Antonio García Castañeda; Iain Dunning; Tina Zhu; Kevin R. McKee; Raphael Koster; Heather Roff; Thore Graepel (CoRR, 2018)

Human-level performance in first-person multiplayer games with population-based deep reinforcement learning. - Max Jaderberg; Wojciech M. Czarnecki; Iain Dunning; Luke Marris; Guy Lever; Antonio García Castañeda; Charles Beattie; Neil C. Rabinowitz; Ari S. Morcos; Avraham Ruderman; Nicolas Sonnerat; Tim Green; et al. (CoRR, 2018)

What Works Best When? A Systematic Evaluation of Heuristics for Max-Cut and QUBO. - Iain Dunning; Swati Gupta 001; John Silberholz (INFORMS J. Comput., 2018)

Malthusian Reinforcement Learning. - Joel Z. Leibo; Julien Pérolat; Edward Hughes 001; Steven Wheelwright; Adam H. Marblestone; Edgar A. Duéñez-Guzmán; Peter Sunehag; Iain Dunning; Thore Graepel (AAMAS, 2019)

Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning. - Jakob N. Foerster; H. Francis Song; Edward Hughes 001; Neil Burch; Iain Dunning; Shimon Whiteson; Matthew M. Botvinick; Michael Bowling (ICML, 2019)

The Hanabi challenge: A new frontier for AI research. - Nolan Bard; Jakob N. Foerster; Sarath Chandar; Neil Burch; Marc Lanctot; H. Francis Song; Emilio Parisotto; Vincent Dumoulin; Subhodeep Moitra; Edward Hughes 001; Iain Dunning; Shibl Mourad; et al. (Artif. Intell., 2020)

Relative Robust and Adaptive Optimization. - Dimitris Bertsimas; Iain Dunning (INFORMS J. Comput., 2020)