Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark

Jonas Weihing, Shahram Eivazi

Deep reinforcement learning (DRL) has a longstanding tradition in addressing the reach-avoid task problem, especially for controlling robotic arms. While this task serves as a base…