RMTL: Reinforced Micro-task Learning for Long-Horizon Manipulation with VLM Rewards

Anıl Can Ateş, Orhan Kahraman, Cihan Topal

Reinforcement learning (RL) for robotic manipulation often requires manually designing a dense reward function, which is difficult to tune and often fragile, or learning a reward f…