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 66 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 22 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 20 70 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 16 13 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 24 9 0 20 Sep 2021
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 26 305 0 25 Dec 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 329 1,944 0 04 May 2020