Arthur Guez
17 papers · 2012–2025 · 4 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (27) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Deep Specialist
(11)
🤝
Dynamic Duo
(10)
👑
Triple Crown
🏆
Keyword Champion
(2)
💎
Century Club · Bronze
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Unstoppable · Bronze
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Keyword Collector
(85)
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Trend Setter
Venues
Top co-authors
Research topics
Reinforcement Learning
(17)
Methods
(14)
Artificial Intelligence
(11)
Core AI
(11)
Machine Learning
(7)
Applications
(6)
Deep Learning
(5)
Learning Types · Machine Learning
(5)
Core Methods
(4)
Learning Types · Deep Learning
(4)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Optimization & Theory
(2)
Mathematics & Optimization
(1)
Architectures
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Keywords
reinforcement learning
(5)
model-based reinforcement learning
(5)
value function
(5)
deep reinforcement learning
(4)
neural network
(3)
offline reinforcement learning
(3)
model-free reinforcement learning
(3)
experience retrieval
(2)
planning algorithm
(2)
model learning
(2)
bayesian inference
(2)
retrieval-augmented generation
(2)
tree search
(2)
counterfactual reasoning
(2)
model uncertainty
(2)
exploration exploitation
(2)
monte carlo tree search
(2)
exploration-exploitation tradeoff
(2)
constrained reinforcement learning
(1)
gradient-based optimization
(1)
Papers
A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning
AISTATS 2025
COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation
ICLR 2022
Large-Scale Retrieval for Reinforcement Learning
NeurIPS 2022
Policy improvement by planning with Gumbel
ICLR 2022
Retrieval-Augmented Reinforcement Learning
ICML 2022
Counterfactual Credit Assignment in Model-Free Reinforcement Learning
ICML 2021
Muesli: Combining Improvements in Policy Optimization
ICML 2021
On the role of planning in model-based deep reinforcement learning
ICLR 2021
Value-driven Hindsight Modelling
NeurIPS 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
Imagination-Augmented Agents for Deep Reinforcement Learning
NeurIPS 2017
The Predictron: End-To-End Learning and Planning
ICML 2017
Learning values across many orders of magnitude
NeurIPS 2016
Bayes-Adaptive Simulation-based Search with Value Function Approximation
NeurIPS 2014
Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search
NeurIPS 2012