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Robustifying a Policy in Multi-Agent RL with Diverse Cooperative Behaviors and Adversarial Style Sampling for Assistive Tasks.

, and . CoRR, (2024)

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Experiments with Hierarchical Reinforcement Learning of Multiple Grasping Policies., , and . ISER, volume 1 of Springer Proceedings in Advanced Robotics, page 160-172. Springer, (2016)Asynchronous force and visual feedback in teleoperative laparoscopic surgical system., , , , and . IROS, page 844-849. IEEE, (2010)Guiding Trajectory Optimization by Demonstrated Distributions., , , , , and . IEEE Robotics Autom. Lett., 2 (2): 819-826 (2017)Learning the Solution Manifold in Optimization and Its Application in Motion Planning.. CoRR, (2020)Robustifying a Policy in Multi-Agent RL with Diverse Cooperative Behaviors and Adversarial Style Sampling for Assistive Tasks., and . CoRR, (2024)Discovering diverse solutions in deep reinforcement learning by maximizing state-action-based mutual information., , and . Neural Networks, (2022)Hierarchical Policy Search via Return-Weighted Density Estimation., and . CoRR, (2017)Goal-Conditioned Variational Autoencoder Trajectory Primitives with Continuous and Discrete Latent Codes., and . SN Comput. Sci., 1 (5): 303 (2020)Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics., , , and . CoRR, (2019)Autonomous penetration detection for bone cutting tool using demonstration-based learning., , , , , , , , , and . ICRA, page 290-296. IEEE, (2014)