← Authors

Arthur Guez

17 papers · 2012–2025 · 4 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (5) 🐝 Cross-Pollinator (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (23) 🌍 Conference Polyglot (4) 🏃 Academic Marathon (13) 🤝 Dynamic Duo (10) 👑 Triple Crown 🧬 Topic Evolution 📈 Trend Setter 🗃️ Keyword Collector (67) 💎 Century Club (17) 🔥 Unstoppable (7)

Conferences

ICML (6) NIPS (6) ICLR (4) AISTATS (1)

Top co-authors

Theophane Weber (10) David Silver (10) Nicolas Heess (8) Fabio Viola (4) Lars Buesing (4) Sébastien Racanière (3) Matteo Hessel (3) Timothy Lillicrap (3) Adrià Puigdomènech Badia (2) Rémi Munos (2)

Keywords

value function (4) model-based reinforcement learning (3) deep reinforcement learning (3) neural network (3) reinforcement learning (3) model-free reinforcement learning (3) offline reinforcement learning (2) model uncertainty (2) experience retrieval (2) planning algorithm (2) monte carlo tree search (2) model learning (2) exploration exploitation (2) large-scale retrieval (1) gradient-based optimization (1) bayesian reinforcement learning (1) policy optimization (1) policy gradient (1) continuous control (1) decision making (1)

Papers

A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning AISTATS 2025
Large-Scale Retrieval for Reinforcement Learning NIPS 2022
Retrieval-Augmented Reinforcement Learning ICML 2022
Policy improvement by planning with Gumbel ICLR 2022
COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation ICLR 2022
On the role of planning in model-based deep reinforcement learning ICLR 2021
Muesli: Combining Improvements in Policy Optimization ICML 2021
Counterfactual Credit Assignment in Model-Free Reinforcement Learning ICML 2021
Value-driven Hindsight Modelling NIPS 2020
An Investigation of Model-Free Planning ICML 2019
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search ICLR 2019
Learning to search with MCTSnets ICML 2018
The Predictron: End-To-End Learning and Planning ICML 2017
Imagination-Augmented Agents for Deep Reinforcement Learning NIPS 2017
Learning values across many orders of magnitude NIPS 2016
Bayes-Adaptive Simulation-based Search with Value Function Approximation NIPS 2014
Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search NIPS 2012