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Theophane Weber

23 papers · 2015–2023 · 4 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+11 more ↓ ๐ŸŒ Conference Polyglot (4) ๐ŸŒ‰ Interdisciplinary Bridge ๐Ÿฃ Hot Topic Early Bird ๐Ÿงญ Keyword Pioneer ๐Ÿƒ Academic Marathon (8)
๐Ÿฃ Hot Topic Early Bird ๐Ÿ—บ๏ธ Taxonomy Completionist (31) ๐ŸŒ Conference Polyglot (4) ๐Ÿค Dynamic Duo (10) ๐Ÿ‘‘ Triple Crown ๐Ÿ† Keyword Champion (2) ๐Ÿงฌ Topic Evolution ๐Ÿ“ˆ Trend Setter ๐Ÿ—ƒ๏ธ Keyword Collector (85) ๐Ÿ’Ž Century Club (23) ๐Ÿ”ฅ Unstoppable (9)

Conferences

NIPS (8) ICML (7) ICLR (6) AISTATS (2)

Top co-authors

Arthur Guez (10) Nicolas Heess (9) Lars Buesing (8) David Silver (6) Fabio Viola (4) Timothy Lillicrap (4) Sรฉbastien Racaniรจre (3) Rรฉmi Munos (3) Razvan Pascanu (3) Daan Wierstra (3)

Keywords

reinforcement learning (5) value function (5) variance reduction (4) neural network (4) credit assignment (3) model-free reinforcement learning (3) policy gradient (3) probabilistic inference (2) environment model (2) deep reinforcement learning (2) offline reinforcement learning (2) experience retrieval (2) planning algorithm (2) model learning (2) tree search (2) model-based reinforcement learning (2) stochastic computation graph (2) monte carlo tree search (2) visual observation (1) scene understanding (1)

Papers

Quantile Credit Assignment ICML 2023 Investigating the Role of Model-Based Learning in Exploration and Transfer ICML 2023 Learning to Induce Causal Structure ICLR 2023 Procedural generalization by planning with self-supervised world models ICLR 2022 Retrieval-Augmented Reinforcement Learning ICML 2022 Large-Scale Retrieval for Reinforcement Learning NIPS 2022 On the role of planning in model-based deep reinforcement learning ICLR 2021 Counterfactual Credit Assignment in Model-Free Reinforcement Learning ICML 2021 Muesli: Combining Improvements in Policy Optimization ICML 2021 Value-driven Hindsight Modelling NIPS 2020 Combining Q-Learning and Search with Amortized Value Estimates ICLR 2020 Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions AISTATS 2020 Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search ICLR 2019 Credit Assignment Techniques in Stochastic Computation Graphs AISTATS 2019 Temporal Difference Variational Auto-Encoder ICLR 2019 An Investigation of Model-Free Planning ICML 2019 Single-Agent Policy Tree Search With Guarantees NIPS 2018 Relational recurrent neural networks NIPS 2018 Learning to search with MCTSnets ICML 2018 Imagination-Augmented Agents for Deep Reinforcement Learning NIPS 2017 Visual Interaction Networks: Learning a Physics Simulator from Video NIPS 2017 Attend, Infer, Repeat: Fast Scene Understanding with Generative Models NIPS 2016 Gradient Estimation Using Stochastic Computation Graphs NIPS 2015