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Brendan Tidd — most-cited papers & profile · Reinforcement Learning
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overview
Brendan Tidd
11
papers ·
18
citations ·
7
h-index
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Most-cited papers
Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics
2022 · 5 citations
Scalable Multi-Objective Robot Reinforcement Learning through Gradient Conflict Resolution
2025
Learning When to Switch: Composing Controllers to Traverse a Sequence of Terrain Artifacts
2020
Learning Setup Policies: Reliable Transition Between Locomotion Behaviours
2021
Passing Through Narrow Gaps with Deep Reinforcement Learning
2021
Top co-authors
Akansel Cosgun
· 3
Jurgen Leitner
· 3
Nicolas Hudson
· 2
and Nicolas Hudson
· 1
David Howard
· 1
Humphrey Munn
· 1
Krishan Rana
· 1
Marcus Gallagher
· 1
Michael Milford
· 1
Ming Xu
· 1
Niko Sünderhauf
· 1
Peter B\"ohm
· 1
Topics
Policy Gradient
Safe RL
Meta-RL
Exploration
Multi-Agent
Model-Based RL