Ameya Pore

PD-SRL: Parallel and Differentiable Surgical Simulation For Accelerated Reinforcement Learning

PD-SRL is introduced, the first differentiable simulator tailored for RL-driven automation of surgical tasks and allows the use of differentiable RL methods, such as SHAC and BPTT, to accelerate training compared with consolidated RL techniques such as PPO.