Language Control Diffusion: Efficiently Scaling through Space, Time, and Tasks

27 October 2022

Papers citing "Language Control Diffusion: Efficiently Scaling through Space, Time, and Tasks"

7 / 7 papers shown

Title
Improving Policy Learning via Language Dynamics Distillation Victor Zhong Jesse Mu Luke Zettlemoyer Edward Grefenstette Tim Rocktaschel OffRL 32 15 0 30 Sep 2022
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 171 768 0 27 May 2022
Planning with Diffusion for Flexible Behavior Synthesis Michael Janner Yilun Du J. Tenenbaum Sergey Levine DiffM 202 622 0 20 May 2022
Improving Intrinsic Exploration with Language Abstractions Jesse Mu Victor Zhong Roberta Raileanu Minqi Jiang Noah D. Goodman Tim Rocktaschel Edward Grefenstette 95 63 0 17 Feb 2022
Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning H. Wang Victor Zhong Karthik Narasimhan 76 53 0 19 Jan 2021
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 226 4,424 0 23 Jan 2020
Guiding Reinforcement Learning Exploration Using Natural Language Brent Harrison Upol Ehsan Mark O. Riedl OffRL 69 27 0 26 Jul 2017