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Todd Hester

2 accepted papers

2020

Robust Reinforcement Learning for Continuous Control with Model Misspecification

ICLR 2020poster

We provide a framework for incorporating robustness -- to perturbations in the transition dynamics which we refer to as model misspecification -- into continuous control Reinforcement Learning (RL) algorithms. We specifically focus on incorporating robustness into a state-of-the-art continuous contr…

Cited by 135SourceScholar
2019

A Practical Approach to Insertion with Variable Socket Position Using Deep Reinforcement Learning

ICRA 2019poster

Insertion is a challenging haptic and visual control problem with significant practical value for manufacturing. Existing approaches in the model-based robotics community can be highly effective when task geometry is known, but are complex and cumbersome to implement, and must be tailored to each in…

Cited by 136SourceScholar