Co-Adaptation of Algorithmic and Implementational Innovations in
Inference-based Deep Reinforcement Learning

Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning

31 March 2021

Hiroki Furuta

Papers citing "Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning"

8 / 8 papers shown

Title
Simplified Temporal Consistency Reinforcement Learning Yi Zhao Wenshuai Zhao Rinu Boney Arno Solin Joni Pajarinen OffRL 30 12 0 15 Jun 2023
Efficient Online Reinforcement Learning with Offline Data Philip J. Ball Laura M. Smith Ilya Kostrikov Sergey Levine OffRL OnRL 23 163 0 06 Feb 2023
On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting Tomasz Korbak Hady ElSahar Germán Kruszewski Marc Dymetman CLL 22 50 0 01 Jun 2022
Towards an Understanding of Default Policies in Multitask Policy Optimization Theodore H. Moskovitz Michael Arbel Jack Parker-Holder Aldo Pacchiano 22 9 0 04 Nov 2021
Offline RL With Resource Constrained Online Deployment Jayanth Reddy Regatti A. Deshmukh Frank Cheng Young Hun Jung Abhishek Gupta Ürün Dogan OffRL 13 2 0 07 Oct 2021
A Minimalist Approach to Offline Reinforcement Learning Scott Fujimoto S. Gu OffRL 25 778 0 12 Jun 2021
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics Arsenii Kuznetsov Pavel Shvechikov Alexander Grishin Dmitry Vetrov 136 185 0 08 May 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