Victor Bapst

5 papers · 2017–2020 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer

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Venues

ICLR (3) ICML (1) NeurIPS (1)

Top co-authors

Peter Battaglia (3) Razvan Pascanu (3) Adam Santoro (2) Alvaro Sanchez-Gonzalez (2) David Raposo (2) Yujia Li (1) Jessica B. Hamrick (1) Karl Moritz Hermann (1) Raia Hadsell (1) Nando de Freitas (1)

Research topics

Reinforcement Learning (4) Methods (4) Deep Learning (3) Applications (3) Artificial Intelligence (2) Core AI (2) Learning Types · Deep Learning (2) Machine Learning (1) Mathematics & Optimization (1) Application Areas (1) Learning Types · Machine Learning (1) Mathematics (1) Techniques (1)

Keywords

monte carlo tree search (2) deep reinforcement learning (2) scene understanding (1) graph learning (1) visual question answering (1) attention mechanism (1) knowledge distillation (1) neural machine translation (1) relational reasoning (1) message passing (1) model-based reinforcement learning (1) robust learning (1) structured representation (1) hyperbolic space (1) shared policy (1) policy distillation (1) hyperbolic geometry (1) model-based rl (1) model-free rl (1) physical reasoning (1)

Papers

Combining Q-Learning and Search with Amortized Value Estimates ICLR 2020 Deep reinforcement learning with relational inductive biases ICLR 2019 Hyperbolic Attention Networks ICLR 2019 Structured agents for physical construction ICML 2019 Distral: Robust multitask reinforcement learning NeurIPS 2017