Natural Policy Gradient and Actor Critic Methods for Constrained Multi-Task Reinforcement Learning

3 May 2024

Papers citing "Natural Policy Gradient and Actor Critic Methods for Constrained Multi-Task Reinforcement Learning"

8 / 8 papers shown

Title
Sharing Knowledge in Multi-Task Deep Reinforcement Learning Carlo DÉramo Davide Tateo Andrea Bonarini Marcello Restelli Jan Peters 48 121 0 17 Jan 2024
Finite-Time Complexity of Online Primal-Dual Natural Actor-Critic Algorithm for Constrained Markov Decision Processes Sihan Zeng Thinh T. Doan J. Romberg 87 17 0 21 Oct 2021
A Stochastic Newton Algorithm for Distributed Convex Optimization Brian Bullins Kumar Kshitij Patel Ohad Shamir Nathan Srebro Blake E. Woodworth 16 15 0 07 Oct 2021
A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning Sihan Zeng Thinh T. Doan J. Romberg 63 22 0 29 Sep 2021
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach Qinbo Bai Amrit Singh Bedi Mridul Agarwal Alec Koppel Vaneet Aggarwal 99 56 0 13 Sep 2021
A Finite Time Analysis of Two Time-Scale Actor Critic Methods Yue Wu Weitong Zhang Pan Xu Quanquan Gu 88 145 0 04 May 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 170 639 0 19 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017