3 papers
cs.RO2025
Average-Reward Maximum Entropy Reinforcement Learning for Global Policy in Double Pendulum Tasks
Jean Seong Bjorn Choe, Bumkyu Choi, Jong-kook Kim
This report presents our reinforcement learning-based approach for the swing-up and stabilisation tasks of the acrobot and pendubot, tailored specifcially to the updated guidelines…
cs.RO2025
Reinforcement Learning for Robust Athletic Intelligence: Lessons from the 2nd 'AI Olympics with RealAIGym' Competition
Felix Wiebe, Niccolò Turcato, Alberto Dalla Libera +17
In the field of robotics many different approaches ranging from classical planning over optimal control to reinforcement learning (RL) are developed and borrowed from other fields…
cs.RO2024
Average-Reward Maximum Entropy Reinforcement Learning for Underactuated Double Pendulum Tasks
Jean Seong Bjorn Choe, Bumkyu Choi, Jong-kook Kim
This report presents a solution for the swing-up and stabilisation tasks of the acrobot and the pendubot, developed for the AI Olympics competition at IROS 2024. Our approach emplo…