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cs.LG2026
Decoupling Task and Behavior: A Two-Stage Reward Curriculum in Reinforcement Learning for Robotics
Kilian Freitag, Knut Åkesson, Morteza Haghir Chehreghani
Deep Reinforcement Learning is a promising tool for robotic control, yet practical application is often hindered by the difficulty of designing effective reward functions. Real-wor…
cs.LG2024
Curriculum Reinforcement Learning for Complex Reward Functions
Kilian Freitag, Kristian Ceder, Rita Laezza +2
Reinforcement learning (RL) has emerged as a powerful tool for tackling control problems, but its practical application is often hindered by the complexity arising from intricate r…