R. Munos

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Publication activitypapers/week, last 8 weeks

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Robotics & Embodied AI (1)Training Efficiency & Optimization (1)World Models & Planning (1)

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Jean-Bastien Grill (1)Michal Valko (1)Rémi Munos (1)

Papers (1)

Apr 16, 2026

1w ago·also DeepMind, Paris-Saclay, SequeL team

Blazing the trails before beating the path: Sample-efficient Monte-Carlo planning

TrailBlazer offers a computationally efficient Monte-Carlo planning algorithm that drastically reduces sample complexity by focusing exploration on near-optimal state trajectories within an MDP.

Jean-Bastien Grill, Michal Valko, R. Munos +119

Robotics & Embodied AI Training Efficiency & Optimization World Models & Planning

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R. Munos

Publication activitypapers/week, last 8 weeks

Research focus

Frequent co-authors

Papers (1)