HARL-A: Hardware Agnostic Reinforcement Learning Through Adversarial Selection
Lucy Jackson,Steve Eckersley,Pete Senior,Simon Hadfield,Lucy Jackson,Steve Eckersley,Pete Senior,Simon Hadfield
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 environments. Hardware agnostic policies would mitigate this by allowing a single network to operate in a va...
