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Lucy Jackson

2 accepted papers

2021

HARL-A: Hardware Agnostic Reinforcement Learning Through Adversarial Selection

IROS 2021poster

The use of reinforcement learning (RL) has led to huge advancements in the field of robotics. However data scarcity, brittle convergence and the gap between simulation & real world environments, mean that most common RL approaches are subject to over fitting and fail to generalise to unseen environm…

Cited by 2SourceScholar
2021

ORCHID: Optimisation of Robotic Control and Hardware In Design using Reinforcement Learning

IROS 2021poster

The successful performance of any system is dependant on the hardware of the agent, which is typically immutable during RL training. In this work, we present ORCHID (Optimisation of Robotic Control and Hardware In Design) which allows for truly simultaneous optimisation of hardware and control param…

Cited by 9SourceScholar