Marc Bellemare

15 papers · 2012–2023 · 5 venues · across top CS/AI venues

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Achievements

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🗺️ Taxonomy Completionist (24) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🔬 Deep Specialist (12) 🧭 Keyword Pioneer 📈 Trend Setter 🔥 Unstoppable · Bronze 🚀 Conference Pioneer 💎 Century Club · Bronze 🗃️ Keyword Collector (70)

Venues

NeurIPS (9) ICML (2) IJCAI (2) AISTATS (1) ICLR (1)

Top co-authors

Joel Veness (5) Rémi Munos (5) Pablo Samuel Castro (4) Will Dabney (4) Michael Bowling (3) Rishabh Agarwal (2) Max Schwarzer (2) Mark Rowland (2) Aaron C. Courville (2) Georg Ostrovski (1)

Research topics

Machine Learning (12) Reinforcement Learning (12) Methods (12) Learning Types · Machine Learning (7) Optimization & Theory · Machine Learning (5) Artificial Intelligence (4) Deep Learning (4) Applications (3) Core AI (3) Learning Types · Deep Learning (3) Optimization & Theory · Deep Learning (3) Core Methods (2) Computer Science (1) Application Areas (1) Bayesian & Probabilistic (1)

Keywords

reinforcement learning (4) deep reinforcement learning (3) off-policy learning (3) distributional reinforcement learning (3) policy gradient (2) value-based learning (2) retrace algorithm (2) policy optimization (1) geometric analysis (1) policy evaluation (1) function approximation (1) model-based reinforcement learning (1) suffix trees (1) value iteration (1) benchmark evaluation (1) continuous control (1) bayesian model averaging (1) bayesian inference (1) gradient descent (1) quantile regression (1)

Papers

Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous Control NeurIPS 2023 Small batch deep reinforcement learning NeurIPS 2023 Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress NeurIPS 2022 The Nature of Temporal Difference Errors in Multi-step Distributional Reinforcement Learning NeurIPS 2022 Deep Reinforcement Learning at the Edge of the Statistical Precipice NeurIPS 2021 A Geometric Perspective on Optimal Representations for Reinforcement Learning NeurIPS 2019 An Analysis of Categorical Distributional Reinforcement Learning AISTATS 2018 The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning ICLR 2018 Safe and Efficient Off-Policy Reinforcement Learning NeurIPS 2016 Unifying Count-Based Exploration and Intrinsic Motivation NeurIPS 2016 Online Learning of k-CNF Boolean Functions IJCAI 2015 The Arcade Learning Environment: An Evaluation Platform for General Agents (Extended Abstract) IJCAI 2015 Skip Context Tree Switching ICML 2014 Bayesian Learning of Recursively Factored Environments ICML 2013 Sketch-Based Linear Value Function Approximation NeurIPS 2012