Igor Farkaš

Safe Reinforcement Learning in a Simulated Robotic Arm

2023 · arXiv (Cornell University)

Reinforcement learning (RL) agents need to explore their environments in order to learn optimal policies. In many environments and tasks, safety is of critical importance. The widespread use of simulators offers a number of advantages, …