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09/01/2023
Suicidal Pedestrian: Generation of Safety-Critical Scenarios for Autonomous Vehicles
Developing reliable autonomous driving algorithms poses challenges in te...
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10/04/2022
Continuous Monte Carlo Graph Search
In many complex sequential decision making tasks, online planning is cru...
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09/22/2020
Learning Task-Agnostic Action Spaces for Movement Optimization
We propose a novel method for exploring the dynamics of physically based...
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07/27/2019
Self-Imitation Learning of Locomotion Movements through Termination Curriculum
Animation and machine learning research have shown great advancements in...
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10/05/2018
PPO-CMA: Proximal Policy Optimization with Covariance Matrix Adaptation
Proximal Policy Optimization (PPO) is a highly popular model-free reinfo...
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08/19/2018