Gregory Farquhar

发表

Multi-Agent Common Knowledge Reinforcement Learning

Shimon Whiteson, Philip H. S. Torr, Jakob N. Foerster, 2018, NeurIPS.

A Survey of Reinforcement Learning Informed by Natural Language

Shimon Whiteson, Jacob Andreas, Edward Grefenstette, 2019, IJCAI.

DiCE: The Infinitely Differentiable Monte-Carlo Estimator pdf

Shimon Whiteson, Eric P. Xing, Jakob N. Foerster, 2018, ICML.

Weighted QMIX: Expanding Monotonic Value Function Factorisation

Shimon Whiteson, Gregory Farquhar, Bei Peng, 2020, NeurIPS.

The Impact of Non-stationarity on Generalisation in Deep Reinforcement Learning pdf

Shimon Whiteson, Gregory Farquhar, Jelena Luketina, 2020, ArXiv.

Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning pdf

Shimon Whiteson, Gregory Farquhar, Christian Schroeder de Witt, 2020, J. Mach. Learn. Res..

The StarCraft Multi-Agent Challenge pdf

Shimon Whiteson, Philip H. S. Torr, Jakob N. Foerster, 2019, AAMAS.

Weighted QMIX: Expanding Monotonic Value Function Factorisation pdf

Shimon Whiteson, Gregory Farquhar, Bei Peng, 2020, ArXiv.

Growing Action Spaces pdf

Shimon Whiteson, Nicolas Usunier, Gregory Farquhar, 2019, ICML.

TreeQN and ATreeC: Differentiable Tree Planning for Deep Reinforcement Learning pdf

Shimon Whiteson, Gregory Farquhar, Tim Rocktäschel, 2017, ICLR 2018.

QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning pdf

Shimon Whiteson, Jakob N. Foerster, Gregory Farquhar, 2018, ICML.

Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Gradient Estimators for Reinforcement Learning

Shimon Whiteson, Gregory Farquhar, Jakob Foerster, 2019, NeurIPS.

A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs

Shimon Whiteson, Jakob N. Foerster, Gregory Farquhar, 2019, ICML.

A Better Baseline for Second Order Gradient Estimation in Stochastic Computation Graphs

Shimon Whiteson, Gregory Farquhar, Tim Rocktäschel, 2018 .

Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning

Shimon Whiteson, Pushmeet Kohli, Philip H. S. Torr, 2017, ICML.

TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning

Shimon Whiteson, Gregory Farquhar, Tim Rocktäschel, 2017, ICLR.

Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Estimators for Reinforcement Learning pdf

Shimon Whiteson, Jakob N. Foerster, Gregory Farquhar, 2019, NeurIPS.

Counterfactual Multi-Agent Policy Gradients

Shimon Whiteson, Triantafyllos Afouras, Jakob N. Foerster, 2017, AAAI.

Transient Non-stationarity and Generalisation in Deep Reinforcement Learning

Shimon Whiteson, Gregory Farquhar, Jelena Luketina, 2020, ICLR.

Model-Value Inconsistency as a Signal for Epistemic Uncertainty pdf

Tom Schaul, Simon Osindero, Gregory Farquhar, 2021, ArXiv.

Proper Value Equivalence pdf

Christopher Grimm, David Silver, Gregory Farquhar, 2021, NeurIPS.

Self-Consistent Models and Values pdf

Zita Marinho, David Silver, Matteo Hessel, 2021, NeurIPS.

PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning

Sergey Levine, Natasha Jaques, Gregory Farquhar, 2021, ICML.

The Impact of Non-stationarity on Generalisation in Deep Reinforcement Learning pdf

Shimon Whiteson, Gregory Farquhar, Jelena Luketina, 2020, ArXiv.