A Decentralized Policy Gradient Approach to Multi-task Reinforcement Learning

8 June 2020

Papers citing "A Decentralized Policy Gradient Approach to Multi-task Reinforcement Learning"

8 / 8 papers shown

Title
Grasper: A Generalist Pursuer for Pursuit-Evasion Problems Pengdeng Li Shuxin Li Xinrun Wang Jakub Cerny Youzhi Zhang Stephen McAleer Hau Chan Bo An 34 1 0 19 Apr 2024
Sharing Knowledge in Multi-Task Deep Reinforcement Learning Carlo DÉramo Davide Tateo Andrea Bonarini Marcello Restelli Jan Peters 56 122 0 17 Jan 2024
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm Qinbo Bai Amrit Singh Bedi Vaneet Aggarwal 24 20 0 12 Jun 2022
Federated Reinforcement Learning with Environment Heterogeneity Hao Jin Yang Peng Wenhao Yang Shusen Wang Zhihua Zhang 57 67 0 06 Apr 2022
Circuit and System Technologies for Energy-Efficient Edge Robotics Zishen Wan A. Lele A. Raychowdhury GNN 28 7 0 22 Feb 2022
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 34 416 0 24 Nov 2021
Policy Mirror Descent for Reinforcement Learning: Linear Convergence, New Sampling Complexity, and Generalized Problem Classes Guanghui Lan 89 136 0 30 Jan 2021
CAD2RL: Real Single-Image Flight without a Single Real Image Fereshteh Sadeghi Sergey Levine SSL 226 809 0 13 Nov 2016