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Kyung-Sik Park

2 accepted papers

2021

Risk-Conditioned Distributional Soft Actor-Critic for Risk-Sensitive Navigation

ICRA 2021poster

Modern navigation algorithms based on deep reinforcement learning (RL) show promising efficiency and robustness. However, most deep RL algorithms operate in a risk-neutral manner, making no special attempt to shield users from relatively rare but serious outcomes, even if such shielding might cause…

Cited by 31SourceScholar
2020

Fast Adaptation of Deep Reinforcement Learning-Based Navigation Skills to Human Preference

ICRA 2020poster

Deep reinforcement learning (RL) is being actively studied for robot navigation due to its promise of superior performance and robustness. However, most existing deep RL navigation agents are trained using fixed parameters, such as maximum velocities and weightings of reward components. Since the op…

Cited by 25SourceScholar