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cs.RO2026
Curriculum Generation under Structured Parametric Environments for Robust Navigation Policies
Prishita Ray
Robust navigation policies for autonomous agents must generalize across continuously varying environmental conditions such as turn rates, obstacles, friction, pits, and slopes. Cur…
cs.RO2023★ 1 cited
Improving Environment Robustness of Deep Reinforcement Learning Approaches for Autonomous Racing Using Bayesian Optimization-based Curriculum Learning
Rohan Banerjee, Prishita Ray, Mark Campbell
Deep reinforcement learning (RL) approaches have been broadly applied to a large number of robotics tasks, such as robot manipulation and autonomous driving. However, an open probl…