Arthur Guez
17 papers · 2012–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (4) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (13)
🗺️
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
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