Marc G Bellemare

9 papers · 2021–2024 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (16) ⚡ Prolific Year · Productive

Venues

ICLR (5) ICML (4)

Top co-authors

Rishabh Agarwal (5) Jesse Farebrother (3) Mark Rowland (3) Aaron Courville (3) Pablo Samuel Castro (3) Will Dabney (3) Charline Le Lan (2) Max Schwarzer (2) Yunhao Tang (2) Jacob Buckman (1)

Research topics

Machine Learning (6) Artificial Intelligence (4) Reinforcement Learning (4) Learning Types · Machine Learning (4) Core Methods (3) Methods (3) Optimization & Theory (3) Deep Learning (2) Applications (2) Core AI (2) Learning Paradigms (2) Learning Types · Deep Learning (2) Architectures (1)

Keywords

reinforcement learning (4) representation learning (3) value estimation (2) policy evaluation (2) temporal difference learning (2) deep reinforcement learning (2) sample efficiency (2) metric learning (1) transfer learning (1) benchmark evaluation (1) generative model (1) deep learning (1) distributional reinforcement learning (1) value iteration (1) policy optimization (1) maximum mean discrepancy (1) off-policy learning (1) state representation (1) multi-task learning (1) contrastive learning (1)

Papers

A Distributional Analogue to the Successor Representation ICML 2024 Bigger, Better, Faster: Human-level Atari with human-level efficiency ICML 2023 Bootstrapped Representations in Reinforcement Learning ICML 2023 Investigating Multi-task Pretraining and Generalization in Reinforcement Learning ICLR 2023 Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks ICLR 2023 Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier ICLR 2023 The Statistical Benefits of Quantile Temporal-Difference Learning for Value Estimation ICML 2023 Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning ICLR 2021 The Importance of Pessimism in Fixed-Dataset Policy Optimization ICLR 2021