Shantanu Thakoor

8 papers · 2021–2023 · 3 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 👑 Triple Crown

Venues

ICML (5) NeurIPS (2) ICLR (1)

Top co-authors

Rémi Munos (6) Michal Valko (4) Will Dabney (4) Mohammad Gheshlaghi azar (3) Yunhao Tang (3) Mehdi Azabou (3) Alaa Saade (2) Zhaohan Daniel Guo (2) Corentin Tallec (2) Yash Chandak (2)

Research topics

Machine Learning (7) Artificial Intelligence (5) Core Methods (5) Learning Types · Machine Learning (5) Deep Learning (4) Reinforcement Learning (4) Methods (4) Core AI (3) Architectures (2) Learning Paradigms (2) Learning Types · Deep Learning (2) Applications (1)

Keywords

self-supervised learning (4) representation learning (3) graph neural network (2) multi-task learning (1) transfer learning (1) policy gradient (1) graph representation learning (1) behavior analysis (1) message passing (1) value function (1) value iteration (1) model-based reinforcement learning (1) singular value decomposition (1) variance reduction (1) policy improvement (1) action prediction (1) curiosity-driven learning (1) spectral decomposition (1) latent representation (1) prediction error (1)

Papers

Half-Hop: A graph upsampling approach for slowing down message passing ICML 2023 Relax, it doesn’t matter how you get there: A new self-supervised approach for multi-timescale behavior analysis NeurIPS 2023 Representations and Exploration for Deep Reinforcement Learning using Singular Value Decomposition ICML 2023 Understanding Self-Predictive Learning for Reinforcement Learning ICML 2023 BYOL-Explore: Exploration by Bootstrapped Prediction NeurIPS 2022 Generalised Policy Improvement with Geometric Policy Composition ICML 2022 Large-Scale Representation Learning on Graphs via Bootstrapping ICLR 2022 Counterfactual Credit Assignment in Model-Free Reinforcement Learning ICML 2021