Continual Learning In Environments With Polynomial Mixing Times

Continual Learning In Environments With Polynomial Mixing Times

13 December 2021

Matthew D Riemer

Sharath Chandra Raparthy

Papers citing "Continual Learning In Environments With Polynomial Mixing Times"

8 / 8 papers shown

Title
Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Matthew D Riemer G. Subbaraj Glen Berseth Irina Rish OffRL 77 1 0 18 Dec 2024
Towards Global Optimality for Practical Average Reward Reinforcement Learning without Mixing Time Oracles Bhrij Patel Wesley A Suttle Alec Koppel Vaneet Aggarwal Brian M Sadler Amrit Singh Bedi Dinesh Manocha 32 1 0 18 Mar 2024
R^3: On-device Real-Time Deep Reinforcement Learning for Autonomous Robotics Zexin Li Aritra Samanta Yufei Li Andrea Soltoggio Hyoseung Kim Cong Liu 27 6 0 29 Aug 2023
A Definition of Continual Reinforcement Learning David Abel André Barreto Benjamin Van Roy Doina Precup H. V. Hasselt Satinder Singh CLL 31 73 0 20 Jul 2023
Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic Wesley A Suttle Amrit Singh Bedi Bhrij Patel Brian M Sadler Alec Koppel Dinesh Manocha 26 14 0 28 Jan 2023
Context-Specific Representation Abstraction for Deep Option Learning Marwa Abdulhai Dong-Ki Kim Matthew D Riemer Miao Liu Gerald Tesauro Jonathan P. How OffRL 31 9 0 20 Sep 2021
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 49 307 0 25 Dec 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,960 0 04 May 2020