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Mel Vecerik — most-cited papers & profile · Reinforcement Learning
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Mel Vecerik
9
papers ·
214
citations
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Semantic Scholar ↗
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Most-cited papers
Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study
2021 · 87 citations
Scaling data-driven robotics with reward sketching and batch reinforcement learning
2019 · 45 citations
S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency
2020 · 14 citations
Improved Exploration through Latent Trajectory Optimization in Deep Deterministic Policy Gradient
2019 · 4 citations
Top co-authors
Jonathan Scholz
· 3
Oleg Sushkov
· 3
David Barker
· 2
Rugile Pevceviciute
· 2
Alexander Novikov
· 1
Chang Su
· 1
Christopher Schuster
· 1
David Budden
· 1
Heni Ben Amor
· 1
Jean-Baptiste Regli
· 1
Jianlan Luo
· 1
Jon Scholz
· 1
Topics
Model-Based RL
Policy Gradient
Safe RL
Offline RL
Exploration
Value-Based
Multi-Agent