Marc Bellemare

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

Achievements

+9 more ↓

🌍 Conference Polyglot (5) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (11)

🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (5) 🏆 Keyword Champion (2) 🔬 Deep Specialist (11) 🗃️ Keyword Collector (66) 💎 Century Club (15) 🔥 Unstoppable (5) 📈 Trend Setter 🚀 Conference Pioneer

Conferences

NIPS (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)

Keywords

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

Papers

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