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Gregory Farquhar

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

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+6 more ↓ 🗺️ Taxonomy Completionist (24) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🔬 Deep Specialist (10) 🤝 Dynamic Duo (12) 🚀 Conference Pioneer 🔥 Unstoppable · Bronze 💎 Century Club · Bronze 🗃️ Keyword Collector (73)

Venues

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

Top co-authors

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

Research topics

Reinforcement Learning (14) Methods (14) Artificial Intelligence (6) Machine Learning (6) Applications (6) Deep Learning (4) Learning Types · Machine Learning (4) Core AI (3) Learning Paradigms · Artificial Intelligence (3) Learning Types · Deep Learning (3) Optimization & Theory · Machine Learning (3) Learning Paradigms · Machine Learning (2) Optimization & Theory · Deep Learning (2) Natural Language Processing (1) Generation (1)

Keywords

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

Papers

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