PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping
Pixels to Rewards

PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards

30 July 2020

Raymond J. Mooney

Papers citing "PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards"

9 / 9 papers shown

Title
Lifelong Robot Library Learning: Bootstrapping Composable and Generalizable Skills for Embodied Control with Language Models Georgios Tziafas H. Kasaei KELM LM&Ro 47 8 0 26 Jun 2024
A Survey on Multimodal Large Language Models for Autonomous Driving Can Cui Yunsheng Ma Xu Cao Wenqian Ye Yang Zhou ... Xinrui Yan Shuqi Mei Jianguo Cao Ziran Wang Chao Zheng 41 251 0 21 Nov 2023
Improve the efficiency of deep reinforcement learning through semantic exploration guided by natural language Zhourui Guo Meng Yao Yang Yu Qiyue Yin OnRL 28 1 0 21 Sep 2023
A Reminder of its Brittleness: Language Reward Shaping May Hinder Learning for Instruction Following Agents Sukai Huang N. Lipovetzky Trevor Cohn 30 2 0 26 May 2023
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation Suraj Nair E. Mitchell Kevin Chen Brian Ichter Silvio Savarese Chelsea Finn LM&Ro OffRL 37 154 0 02 Sep 2021
A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution Valts Blukis Chris Paxton D. Fox Animesh Garg Yoav Artzi LM&Ro 212 134 0 12 Jul 2021
Leveraging Language to Learn Program Abstractions and Search Heuristics Catherine Wong Kevin Ellis J. Tenenbaum Jacob Andreas 24 54 0 18 Jun 2021
Learning Rewards from Linguistic Feedback T. Sumers Mark K. Ho Robert D. Hawkins Karthik Narasimhan Thomas L. Griffiths 29 51 0 30 Sep 2020
Guiding Reinforcement Learning Exploration Using Natural Language Brent Harrison Upol Ehsan Mark O. Riedl OffRL 82 27 0 26 Jul 2017