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Th\'eophane Weber — most-cited papers & profile · Reinforcement Learning
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Th\'eophane Weber
15
papers ·
372
citations
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Semantic Scholar ↗
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Most-cited papers
Imagination-Augmented Agents for Deep Reinforcement Learning
2017 · 211 citations
Learning model-based planning from scratch
2017 · 78 citations
On the role of planning in model-based deep reinforcement learning
2020 · 15 citations
Credit Assignment Techniques in Stochastic Computation Graphs
2019 · 13 citations
Large-Scale Retrieval for Reinforcement Learning
2022 · 11 citations
Counterfactual Credit Assignment in Model-Free Reinforcement Learning
2020 · 8 citations
Neural Recursive Belief States in Multi-Agent Reinforcement Learning
2021 · 7 citations
Physically Embedded Planning Problems: New Challenges for Reinforcement Learning
2020 · 6 citations
Value-driven Hindsight Modelling
2020 · 5 citations
Investigating the role of model-based learning in exploration and transfer
2023 · 3 citations
An investigation of model-free planning
2019
Equivariant MuZero
2023
Top co-authors
Arthur Guez
· 7
Lars Buesing
· 7
Nicolas Heess
· 6
David Silver
· 4
Fabio Viola
· 3
S\'ebastien Racani\`ere
· 3
Timothy Lillicrap
· 3
Daan Wierstra
· 2
Jessica B. Hamrick
· 2
Mehdi Mirza
· 2
Oriol Vinyals
· 2
Peter Battaglia
· 2
Topics
Model-Based RL
Game AI
Value-Based
Exploration
Meta-RL
Policy Gradient
Offline RL
Multi-Agent