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, [...]
Our lab member Kamil Ciosek has published a video of his presentation of his recent paper “Expected Policy Gradients” (together with Shimon Whiteson) at AAAI-18.
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: https://arxiv.org/abs/1709.04326 Ordered Preference Elicitation Strategies for Supporting Multi-Objective Decision Making, Luisa M Zintgraf, Diederik M Roijers, Sjoerd Linders, Catholijn M Jonker, Ann Nowé (arxiv.org/abs/1802.07606 )
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
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
WhiRL members have contributed three papers to this year’s ICML: Stabilising Experience Replay for Deep Multi−Agent Reinforcement Learning Programming with a Differentiable Forth Interpreter Input Switched Affine Networks: An RNN Architecture Designed for Interpretability