Offline Q-Learning on Diverse Multi-Task Data Both Scales And
Generalizes

Offline Q-Learning on Diverse Multi-Task Data Both Scales And Generalizes

28 November 2022

Rishabh Agarwal

Papers citing "Offline Q-Learning on Diverse Multi-Task Data Both Scales And Generalizes"

17 / 17 papers shown

Title
Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL Ghada Sokar J. Obando-Ceron Aaron C. Courville Hugo Larochelle Pablo Samuel Castro MoE 57 2 0 02 Oct 2024
Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining Jie Cheng Ruixi Qiao Gang Xiong Binhua Li Yingwei Ma Binhua Li Yongbin Li Yisheng Lv OffRL OnRL LM&Ro 32 3 0 01 Oct 2024
The Role of Deep Learning Regularizations on Actors in Offline RL Denis Tarasov Anja Surina Çağlar Gülçehre OffRL AI4CE 48 1 0 11 Sep 2024
UniZero: Generalized and Efficient Planning with Scalable Latent World Models Yuan Pu Yazhe Niu Jiyuan Ren Zhenjie Yang Hongsheng Li Yu Liu OffRL 38 1 0 15 Jun 2024
Is Value Functions Estimation with Classification Plug-and-play for Offline Reinforcement Learning? Denis Tarasov Kirill Brilliantov Dmitrii Kharlapenko OffRL 30 2 0 10 Jun 2024
Bigger, Regularized, Optimistic: scaling for compute and sample-efficient continuous control Michal Nauman M. Ostaszewski Krzysztof Jankowski Piotr Milo's Marek Cygan OffRL 32 16 0 25 May 2024
Hybrid Search for Efficient Planning with Completeness Guarantees Kalle Kujanpää J. Pajarinen Alexander Ilin 14 3 0 19 Oct 2023
Zero-Shot Reinforcement Learning from Low Quality Data Scott Jeen Tom Bewley Jonathan M. Cullen OffRL OnRL 30 0 0 26 Sep 2023
Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning Marcel Hussing Jorge Armando Mendez Mendez Anisha Singrodia Cassandra Kent Eric Eaton OffRL 24 5 0 13 Jul 2023
Bigger, Better, Faster: Human-level Atari with human-level efficiency Max Schwarzer J. Obando-Ceron Aaron C. Courville Marc G. Bellemare Rishabh Agarwal P. S. Castro OffRL 37 81 0 30 May 2023
Revisiting the Minimalist Approach to Offline Reinforcement Learning Denis Tarasov Vladislav Kurenkov Alexander Nikulin Sergey Kolesnikov OffRL 20 35 0 16 May 2023
Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials Aviral Kumar Anika Singh F. Ebert Mitsuhiko Nakamoto Yanlai Yang Chelsea Finn Sergey Levine OffRL OnRL 120 64 0 11 Oct 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
SCENIC: A JAX Library for Computer Vision Research and Beyond Mostafa Dehghani A. Gritsenko Anurag Arnab Matthias Minderer Yi Tay 41 67 0 18 Oct 2021
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 197 412 0 16 Feb 2021
D2RL: Deep Dense Architectures in Reinforcement Learning Samarth Sinha Homanga Bharadhwaj A. Srinivas Animesh Garg OffRL AI4CE 43 56 0 19 Oct 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 223 4,424 0 23 Jan 2020