Title
Multi-agent Embodied AI: Advances and Future Directions Zhaohan Feng Ruiqi Xue Lei Yuan Yang Yu Ning Ding M. Liu Bingzhao Gao Jian-jun Sun Gang Wang AI4CE 52 1 0 08 May 2025
ProtTeX: Structure-In-Context Reasoning and Editing of Proteins with Large Language Models Zicheng Ma Chuanliu Fan Zhicong Wang Zhenyu Chen Xiaohan Lin Y. Li Shihao Feng Jun Zhang Ziqiang Cao Y. Gao 43 0 0 11 Mar 2025
Oreo: A Plug-in Context Reconstructor to Enhance Retrieval-Augmented Generation Sha Li Naren Ramakrishnan RALM KELM 149 1 0 18 Feb 2025
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3D-Grounded Vision-Language Framework for Robotic Task Planning: Automated Prompt Synthesis and Supervised Reasoning Guoqin Tang Qingxuan Jia Zeyuan Huang Gang Chen Ning Ji Zhipeng Yao 61 0 0 13 Feb 2025
A Comprehensive Survey of Foundation Models in Medicine Wasif Khan Seowung Leem Kyle B. See Joshua K. Wong Shaoting Zhang R. Fang AI4CE LM&MA VLM 97 18 0 17 Jan 2025
Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents Wonje Choi Woo Kyung Kim SeungHyun Kim Honguk Woo 72 8 0 16 Dec 2024
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey Zhihong Liu Xin Xu Peng Qiao Dongsheng Li OffRL 20 2 0 08 Nov 2024
Large Language Model-Enhanced Reinforcement Learning for Generic Bus Holding Control Strategies Jiajie Yu Yuhong Wang Wei Ma OffRL 34 1 0 14 Oct 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 29 0 0 08 Jul 2024
Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning Juan Rocamonde Victoriano Montesinos Elvis Nava Ethan Perez David Lindner VLM 31 74 0 19 Oct 2023
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey Chao Yu Xuejing Zheng H. Zhuo OffRL LRM 53 7 0 24 Apr 2023
RE-MOVE: An Adaptive Policy Design for Robotic Navigation Tasks in Dynamic Environments via Language-Based Feedback Souradip Chakraborty K. Weerakoon Prithvi Poddar Mohamed Bashir Elnoor Priya Narayanan Carl E. Busart Pratap Tokekar Amrit Singh Bedi Dinesh Manocha 24 3 0 14 Mar 2023
Masked World Models for Visual Control Younggyo Seo Danijar Hafner Hao Liu Fangchen Liu Stephen James Kimin Lee Pieter Abbeel OffRL 77 145 0 28 Jun 2022
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble Zhengyu Yang Kan Ren Xufang Luo Minghuan Liu Weiqing Liu Jiang Bian Weinan Zhang Dongsheng Li 25 19 0 19 May 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 303 11,909 0 04 Mar 2022
Can Wikipedia Help Offline Reinforcement Learning? Machel Reid Yutaro Yamada S. Gu 3DV RALM OffRL 127 95 0 28 Jan 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
A Survey of Visual Transformers Yang Liu Yao Zhang Yixin Wang Feng Hou Jin Yuan Jiang Tian Yang Zhang Zhongchao Shi Jianping Fan Zhiqiang He 3DGS ViT 69 330 0 11 Nov 2021
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 211 1,656 0 15 Oct 2021
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation Ajay Mandlekar Danfei Xu J. Wong Soroush Nasiriany Chen Wang Rohun Kulkarni Li Fei-Fei Silvio Savarese Yuke Zhu Roberto Martín-Martín OffRL 147 471 0 06 Aug 2021
Reward (Mis)design for Autonomous Driving W. B. Knox A. Allievi Holger Banzhaf Felix Schmitt Peter Stone 67 112 0 28 Apr 2021
Improving Generalization in Reinforcement Learning with Mixture Regularization Kaixin Wang Bingyi Kang Jie Shao Jiashi Feng 104 116 0 21 Oct 2020
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 280 339 0 14 Sep 2020
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 4,453 0 23 Jan 2020