ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal
Reinforcement Learning

ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning

12 February 2019

Sanja Fidler

Jimmy Ba

Papers citing "ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning"

8 / 8 papers shown

Title
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
Guiding Pretraining in Reinforcement Learning with Large Language Models Yuqing Du Olivia Watkins Zihan Wang Cédric Colas Trevor Darrell Pieter Abbeel Abhishek Gupta Jacob Andreas LM&Ro 21 174 0 13 Feb 2023
Goal-Conditioned Reinforcement Learning: Problems and Solutions Minghuan Liu Menghui Zhu Weinan Zhang 33 132 0 20 Jan 2022
A Framework for Learning to Request Rich and Contextually Useful Information from Humans Khanh Nguyen Yonatan Bisk Hal Daumé 47 16 0 14 Oct 2021
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
Interactive Learning from Activity Description Khanh Nguyen Dipendra Kumar Misra Robert Schapire Miroslav Dudík Patrick Shafto 47 34 0 13 Feb 2021
Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text Felix Hill Soňa Mokrá Nathaniel Wong Tim Harley LM&Ro 19 81 0 19 May 2020
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,925 0 17 Aug 2015