Video for AAAI-18 oral “Expected Policy Gradients” by K. Ciosek and S. Whiteson.
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.
09 Mar
03 Feb
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.
26 Jan
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: 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 )
16 Jan
Wendelin Boehmer joins WhiRL
Wendelin Boehmer has joined WhiRL as a new postdoctoral researcher.
16 Jan
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!
10 Nov
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
05 Sep
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
27 Jun
Postdoc vacancy
We are hiring a new postdoc in reinforcement learning. Apply here.
14 Jun
Three ICML papers from WhiRL members.
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
13 Jun
UAI paper accepted
Our paper Real−Time Resource Allocation for Tracking Systems was accepted for publication at UAI-2017.