Author - whirl

New blog post: Advice for short-term machine learning research projects

Tim Rocktäschel, Jakob Foerster and Greg Farquhar Every year we get contacted by students who wish to work on short-term machine learning research projects with us. By now, we have supervised a good number of them and we noticed that some of the advice that we gave followed a few recurring principles. In this post, we share what we believe is good advice for a master’s thesis project or a summer research internship in machine learning. This post is by [...]

Five papers accepted at ICML 2018

All our five submissions for ICML 2018 have just been accepted:   DiCE: The Infinitely Differentiable Monte Carlo Estimator Jakob Foerster, Gregory Farquhar, Maruan Al-Shedivat, Tim Rocktäschel, Eric Xing, Shimon Whiteson QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid, Mikayel Samvelyan, Christian Schroeder, Gregory Farquhar, Jakob Foerster, Shimon Whiteson Fourier Policy Gradients Matthew Fellows, Kamil Ciosek, Shimon Whiteson Deep Variational Reinforcement Learning for POMDPs Maximilian Igl, Luisa Zintgraf, Tuan Anh Le, Frank Wood, Shimon Whiteson TACO: Learning Task Decomposition via Temporal Alignment for Control Kyriacos Shiarlis, [...]

Paper accepted at ICLR 2018

Our paper “TreeQN and ATreeC: Differentiable Tree Planning for Deep Reinforcement Learning” has been accepted at #ICLR2018 ! Congratulations to Gregory Farquhar, Tim Rocktäschel, Maximilian Igl and Shimon Whiteson.

WhiRL members have two papers accepted at AAMAS 2018

We’re happy to announce that WhiRL members have two accepted papers at #AAMAS2018 this year.Learning with Opponent-Learning Awareness Jakob N. Foerster, Richard Y. Chen, Maruan Al-Shedivat, Shimon Whiteson, Pieter Abbeel, Igor Mordatch. Arxiv version: Ordered Preference Elicitation Strategies for Supporting Multi-Objective Decision Making, Luisa M Zintgraf, Diederik M Roijers, Sjoerd Linders, Catholijn M Jonker, Ann Nowé ( )   

Outstanding Student Paper at AAAI-18

Our paper “Counterfactual Multi−Agent Policy Gradients” by Jakob Foerster‚ Gregory Farquhar‚ Triantafyllos Afouras‚ Nantas Nardelli and Shimon Whiteson has been selected as the Outstanding Student Paper for AAAI-18! Congratulations to all authors!

WhiRL members have three papers accepted at AAAI

Whiteson Research Lab members have three papers accepted at AAAI-2018: Counterfactual Multi-Agent Policy GradientsJakob Foerster, Gregory Farquhar, Triantafyllos Afouras, Nantas Nardelli, Shimon WhitesonAlternating Optimisation and Quadrature for Robust ControlSupratik Paul, Shimon Whiteson, Michael Osborne, Konstantinos Chatzilygeroudis, Kamil Ciosek, Jean-Baptiste MouretExpected Policy GradientsKamil Ciosek, Shimon Whiteson

WhiRL members have three papers accepted at NIPS

Whiteson Research Lab members have three papers accepted at NIPS-2017: Utile Context Tree Weighting João Messias and Shimon Whiteson   End-to-end Differentiable Proving Tim Rocktäschel and Sebastian Riedel   Cortical Microcircuits as Gated-Recurrent Neural Networks Rui Ponte Costa, Yannis Assael, Brendan Shillingford, Nando de Freitas, Tim Vogels