← Authors

Gregory Farquhar

15 papers · 2017–2025 · 5 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (8) πŸ—ΊοΈ Taxonomy Completionist (23) πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (13) 🌍 Conference Polyglot (5) 🀝 Dynamic Duo (12) πŸ”₯ Unstoppable (6) πŸ’Ž Century Club (15) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (63)

Conferences

ICML (8) NIPS (3) ICLR (2) IJCAI (1) JMLR (1)

Top co-authors

Shimon Whiteson (12) Jakob Foerster (8) Tim RocktΓ€schel (4) Tabish Rashid (3) Maximilian Igl (2) Wendelin Boehmer (2) Mikayel Samvelyan (2) Angelos Filos (2) Christian Schroeder de Witt (2) Jelena Luketina (2)

Keywords

multi-agent reinforcement learning (5) value function factorization (3) decentralized policy (3) gradient estimation (2) imitation learning (2) value function (2) stochastic computation graph (2) deep reinforcement learning (2) multi-agent system (2) multi-agent learning (2) curriculum learning (1) automatic differentiation (1) inverse reinforcement learning (1) importance sampling (1) function approximation (1) deep learning (1) variance reduction (1) natural language understanding (1) model-based reinforcement learning (1) continuous control (1)

Papers

Scalable Meta-Learning via Mixed-Mode Differentiation ICML 2025
Model-Value Inconsistency as a Signal for Epistemic Uncertainty ICML 2022
Transient Non-stationarity and Generalisation in Deep Reinforcement Learning ICLR 2021
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning ICML 2021
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning JMLR 2020
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning NIPS 2020
Growing Action Spaces ICML 2020
Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Gradient Estimators for Reinforcement Learning NIPS 2019
Multi-Agent Common Knowledge Reinforcement Learning NIPS 2019
A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs ICML 2019
A Survey of Reinforcement Learning Informed by Natural Language IJCAI 2019
DiCE: The Infinitely Differentiable Monte Carlo Estimator ICML 2018
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning ICLR 2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning ICML 2018
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning ICML 2017