Comparison of DRL Policies to Formal Methods for Moving Obstacle Avoidance

Abstract Deep Reinforcement Learning (RL) has recently emerged as a solution for moving obstacle avoidance. Deep RL learns to simultaneously predict obstacle motions and corresponding avoidance action

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