EAGER: Asking and Answering Questions for Automatic Reward Shaping in
Language-guided RL

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EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL

20 June 2022

Pierre-Yves Oudeyer

Sylvain Lamprier

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Papers citing "EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL"

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Title
Inductive Biases for Zero-shot Systematic Generalization in Language-informed Reinforcement Learning Negin Hashemi Dijujin Seyed Roozbeh Razavi Rohani Mohammad Samiei M. Baghshah 106 0 0 28 Jan 2025
Compositional Instruction Following with Language Models and Reinforcement Learning Vanya Cohen Geraud Nangue Tasse N. Gopalan Steven D. James Matthew C. Gombolay Ray Mooney Benjamin Rosman 109 0 0 21 Jan 2025
Online Intrinsic Rewards for Decision Making Agents from Large Language Model Feedback Qinqing Zheng Mikael Henaff Amy Zhang Aditya Grover Brandon Amos LLMAG OffRL 109 3 0 30 Oct 2024
Assessing the Zero-Shot Capabilities of LLMs for Action Evaluation in RL Eduardo Pignatelli Johan Ferret Tim Rockäschel Edward Grefenstette Davide Paglieri Samuel Coward Laura Toni 88 3 0 19 Sep 2024
Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewards Shresth Verma Niclas Boehmer Lingkai Kong Milind Tambe 146 3 0 22 Aug 2024
$$\mathrm{E^{2}CFD}$: Towards Effective and Efficient Cost Function Design for Safe Reinforcement Learning via Large Language Model$ $\mathrm{E^{2}CFD}$ : Towards Effective and Efficient Cost Function Design for Safe Reinforcement Learning via Large Language Model Zepeng Wang Chao Ma Linjiang Zhou Libing Wu Lei Yang Xiaochuan Shi Guojun Peng OffRL 93 0 0 08 Jul 2024
Improving Sample Efficiency of Reinforcement Learning with Background Knowledge from Large Language Models Fuxiang Zhang Junyou Li Yi-Chen Li Zongzhang Zhang Yang Yu Deheng Ye OffRL KELM 97 1 0 04 Jul 2024
CuDA2: An approach for Incorporating Traitor Agents into Cooperative Multi-Agent Systems Zhen Chen Yong Liao Youpeng Zhao Zipeng Dai Jian Zhao AAML 54 0 0 25 Jun 2024
Depending on yourself when you should: Mentoring LLM with RL agents to become the master in cybersecurity games Yikuan Yan Yaolun Zhang Keman Huang 120 10 0 26 Mar 2024
Learning with Language-Guided State Abstractions Andi Peng Ilia Sucholutsky Belinda Z. Li T. Sumers Thomas Griffiths Jacob Andreas Julie A. Shah LM&Ro 87 14 0 28 Feb 2024
Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft Hao Li Xue Yang Zhaokai Wang Xizhou Zhu Jie Zhou Yu Qiao Xiaogang Wang Hongsheng Li Lewei Lu Jifeng Dai 97 36 0 14 Dec 2023
Improve the efficiency of deep reinforcement learning through semantic exploration guided by natural language Zhourui Guo Meng Yao Yang Yu Qiyue Yin OnRL 51 1 0 21 Sep 2023
Self-Refined Large Language Model as Automated Reward Function Designer for Deep Reinforcement Learning in Robotics Jiayang Song Zhehua Zhou Jiawei Liu Chunrong Fang Zhan Shu Lei Ma 93 32 0 13 Sep 2023
PACE: Improving Prompt with Actor-Critic Editing for Large Language Model Yihong Dong Kangcheng Luo Xue Jiang Zhi Jin Ge Li LRM KELM 107 9 0 19 Aug 2023
Learning to Summarize and Answer Questions about a Virtual Robot's Past Actions Chad DeChant Iretiayo Akinola Daniel Bauer 88 8 0 16 Jun 2023
Semantic HELM: A Human-Readable Memory for Reinforcement Learning Fabian Paischer Thomas Adler M. Hofmarcher Sepp Hochreiter 66 12 0 15 Jun 2023
Reward Design with Language Models Minae Kwon Sang Michael Xie Kalesha Bullard Dorsa Sadigh LM&Ro 146 221 0 27 Feb 2023