Florent Altché

7 papers · 2020–2023 · 4 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird 📈 Trend Setter

Venues

ICML (3) NeurIPS (2) ICCV (1) ICLR (1)

Top co-authors

Corentin Tallec (5) Jean-Bastien Grill (5) Michal Valko (5) Rémi Munos (5) Bilal Piot (4) Florian Strub (3) Mohammad Gheshlaghi azar (3) Bernardo Avila Pires (3) Zhaohan Guo (2) Yunhao Tang (2)

Research topics

Machine Learning (6) Learning Types · Machine Learning (5) Artificial Intelligence (4) Reinforcement Learning (4) Methods (4) Deep Learning (3) Core AI (3) Learning Types · Deep Learning (3) Applications (1) Core Methods (1) Learning Paradigms (1) Optimization & Theory (1)

Keywords

self-supervised learning (4) representation learning (3) reinforcement learning (2) curiosity-driven exploration (2) curiosity-driven learning (2) policy optimization (1) transfer learning (1) audio classification (1) optical flow (1) monte carlo tree search (1) intrinsic motivation (1) predictive representation (1) latent representation (1) world model (1) intrinsic reward (1) video representation (1) stochastic environment (1) intrinsic exploration (1) emergent communication (1) emergent language (1)

Papers

Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments ICML 2023 BYOL-Explore: Exploration by Bootstrapped Prediction NeurIPS 2022 Emergent Communication at Scale ICLR 2022 Broaden Your Views for Self-Supervised Video Learning ICCV 2021 Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning ICML 2020 Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning NeurIPS 2020 Monte-Carlo Tree Search as Regularized Policy Optimization ICML 2020