Motif: Intrinsic Motivation from Artificial Intelligence Feedback

Motif: Intrinsic Motivation from Artificial Intelligence Feedback

29 September 2023

Martin Klissarov

Roberta Raileanu

Pierre-Luc Bacon

Pascal Vincent

Papers citing "Motif: Intrinsic Motivation from Artificial Intelligence Feedback"

18 / 18 papers shown

Title
TREND: Tri-teaching for Robust Preference-based Reinforcement Learning with Demonstrations Shuaiyi Huang Mara Levy Anubhav Gupta Daniel Ekpo Ruijie Zheng Abhinav Shrivastava 26 0 0 09 May 2025
PRISM: Projection-based Reward Integration for Scene-Aware Real-to-Sim-to-Real Transfer with Few Demonstrations Haowen Sun H. Wang Chengzhong Ma Shaolong Zhang Jiawei Ye Xingyu Chen Xuguang Lan OffRL 53 1 0 29 Apr 2025
SFO: Piloting VLM Feedback for Offline RL Jacob Beck OffRL 31 0 0 02 Mar 2025
BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games Davide Paglieri Bartłomiej Cupiał Samuel Coward Ulyana Piterbarg Maciej Wolczyk ... Lerrel Pinto Rob Fergus Jakob Foerster Jack Parker-Holder Tim Rocktaschel LLMAG LRM 106 10 0 20 Nov 2024
Open-Endedness is Essential for Artificial Superhuman Intelligence Edward Hughes Michael Dennis Jack Parker-Holder Feryal M. P. Behbahani Aditi Mavalankar Yuge Shi Tom Schaul Tim Rocktaschel LRM 32 18 0 06 Jun 2024
A Survey on Large Language Model-Based Game Agents Sihao Hu Tiansheng Huang Gaowen Liu Ramana Rao Kompella Gaowen Liu Selim Furkan Tekin Yichang Xu Zachary Yahn Ling Liu LLMAG LM&Ro AI4CE LM&MA 69 49 0 02 Apr 2024
Policy Improvement using Language Feedback Models Victor Zhong Dipendra Kumar Misra Xingdi Yuan Marc-Alexandre Côté 16 9 0 12 Feb 2024
Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents Zihao Zhou Bin-Bin Hu Chenyang Zhao Pu Zhang Bin Liu LLMAG 25 8 0 22 Nov 2023
Dungeons and Data: A Large-Scale NetHack Dataset Eric Hambro Roberta Raileanu Dan Rothermel Vegard Mella Tim Rocktaschel Heinrich Küttler Naila Murray OffRL 126 18 0 01 Nov 2022
ReAct: Synergizing Reasoning and Acting in Language Models Shunyu Yao Jeffrey Zhao Dian Yu Nan Du Izhak Shafran Karthik Narasimhan Yuan Cao LLMAG ReLM LRM 233 2,477 0 06 Oct 2022
Defining and Characterizing Reward Hacking Joar Skalse Nikolaus H. R. Howe Dmitrii Krasheninnikov David M. Krueger 57 54 0 27 Sep 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 306 11,909 0 04 Mar 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
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,448 0 28 Jan 2022
Flexible Option Learning Martin Klissarov Doina Precup OffRL 39 26 0 06 Dec 2021
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research Mikayel Samvelyan Robert Kirk Vitaly Kurin Jack Parker-Holder Minqi Jiang Eric Hambro Fabio Petroni Heinrich Küttler Edward Grefenstette Tim Rocktaschel OffRL 226 89 0 27 Sep 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity Yao Lu Max Bartolo Alastair Moore Sebastian Riedel Pontus Stenetorp AILaw LRM 277 1,117 0 18 Apr 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 329 1,949 0 04 May 2020