Preprint
Jul 2026
Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark
This work identifies that additional research is still required to claim the successful resolution of the robotic arm reach-avoid task using DRL, and presents a comprehensive benchmark for the reachavoid task that accurately captures real-world complexities without simplifications.
Jonas Weihing, Shahram Eivazi
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