From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems

30 May 2024

Siyu Chen

Papers citing "From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems"

30 / 30 papers shown

Title
Interactive Task Planning with Language Models Boyi Li Philipp Wu Pieter Abbeel Jitendra Malik LM&Ro 77 38 0 16 Oct 2023
Tree-Planner: Efficient Close-loop Task Planning with Large Language Models Mengkang Hu Yao Mu Xinmiao Yu Mingyu Ding Shiguang Wu Wenqi Shao Qiguang Chen Bin Wang Yu Qiao Ping Luo LLMAG 69 36 0 12 Oct 2023
Supervised Pretraining Can Learn In-Context Reinforcement Learning Jonathan Lee Annie Xie Aldo Pacchiano Yash Chandak Chelsea Finn Ofir Nachum Emma Brunskill OffRL 75 80 0 26 Jun 2023
In-Context Learning through the Bayesian Prism Madhuri Panwar Kabir Ahuja Navin Goyal BDL 64 47 0 08 Jun 2023
Reasoning with Language Model is Planning with World Model Shibo Hao Yi Gu Haodi Ma Joshua Jiahua Hong Zhen Wang D. Wang Zhiting Hu ReLM LRM LLMAG 123 571 0 24 May 2023
A Theory of Emergent In-Context Learning as Implicit Structure Induction Michael Hahn Navin Goyal LRM 45 85 0 14 Mar 2023
Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling Kolby Nottingham Prithviraj Ammanabrolu Alane Suhr Yejin Choi Hannaneh Hajishirzi Sameer Singh Roy Fox LLMAG LM&Ro 69 82 0 28 Jan 2023
OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization Srinivasan Iyer Xi Lin Ramakanth Pasunuru Todor Mihaylov Daniel Simig ... Jeff Wang Christopher Dewan Asli Celikyilmaz Luke Zettlemoyer Veselin Stoyanov ALM 120 266 0 22 Dec 2022
On Grounded Planning for Embodied Tasks with Language Models Bill Yuchen Lin Chengsong Huang Qian Liu Wenda Gu Sam Sommerer Xiang Ren LM&Ro 66 40 0 29 Aug 2022
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes Shivam Garg Dimitris Tsipras Percy Liang Gregory Valiant 116 504 0 01 Aug 2022
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning Shuang Qiu Lingxiao Wang Chenjia Bai Zhuoran Yang Zhaoran Wang SSL OffRL 65 32 0 29 Jul 2022
Making Linear MDPs Practical via Contrastive Representation Learning Tianjun Zhang Zhaolin Ren Mengjiao Yang Joseph E. Gonzalez Dale Schuurmans Bo Dai 52 44 0 14 Jul 2022
Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation Christoph Dann Yishay Mansour M. Mohri Ayush Sekhari Karthik Sridharan 70 53 0 19 Jun 2022
Self-Generated In-Context Learning: Leveraging Auto-regressive Language Models as a Demonstration Generator Sungmin Cho Hyunsoo Cho Junyeob Kim Taeuk Kim Kang Min Yoo Sang-goo Lee 80 64 0 16 Jun 2022
Emergent Abilities of Large Language Models Jason W. Wei Yi Tay Rishi Bommasani Colin Raffel Barret Zoph ... Tatsunori Hashimoto Oriol Vinyals Percy Liang J. Dean W. Fedus ELM ReLM LRM 263 2,462 0 15 Jun 2022
Multimodal Learning with Transformers: A Survey Peng Xu Xiatian Zhu David Clifton ViT 123 555 0 13 Jun 2022
Pre-Trained Language Models for Interactive Decision-Making Shuang Li Xavier Puig Chris Paxton Yilun Du Clinton Jia Wang ... Anima Anandkumar Jacob Andreas Igor Mordatch Antonio Torralba Yuke Zhu LM&Ro 93 257 0 03 Feb 2022
Can Wikipedia Help Offline Reinforcement Learning? Machel Reid Yutaro Yamada S. Gu 3DV RALM OffRL 186 96 0 28 Jan 2022
The Statistical Complexity of Interactive Decision Making Dylan J. Foster Sham Kakade Jian Qian Alexander Rakhlin 334 180 0 27 Dec 2021
Transformers Can Do Bayesian Inference Samuel G. Müller Noah Hollmann Sebastian Pineda Arango Josif Grabocka Frank Hutter BDL UQCV 66 169 0 20 Dec 2021
An Explanation of In-context Learning as Implicit Bayesian Inference Sang Michael Xie Aditi Raghunathan Percy Liang Tengyu Ma ReLM BDL VPVLM LRM 177 746 0 03 Nov 2021
Goal-Conditioned Reinforcement Learning with Imagined Subgoals Elliot Chane-Sane Cordelia Schmid Ivan Laptev 66 144 0 01 Jul 2021
MobILE: Model-Based Imitation Learning From Observation Alone Rahul Kidambi Jonathan D. Chang Wen Sun 36 40 0 22 Feb 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 419 3,826 0 11 Feb 2021
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 364 1,370 0 17 Jan 2021
FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs Alekh Agarwal Sham Kakade A. Krishnamurthy Wen Sun OffRL 145 226 0 18 Jun 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 381 20,053 0 23 Oct 2019
Are Sixteen Heads Really Better than One? Paul Michel Omer Levy Graham Neubig MoE 100 1,060 0 25 May 2019
Imitating Latent Policies from Observation Ashley D. Edwards Himanshu Sahni Yannick Schroecker Charles Isbell 68 137 0 21 May 2018
Pointer Sentinel Mixture Models Stephen Merity Caiming Xiong James Bradbury R. Socher RALM 280 2,844 0 26 Sep 2016