LLM-Empowered State Representation for Reinforcement Learning

18 July 2024

Papers citing "LLM-Empowered State Representation for Reinforcement Learning"

7 / 7 papers shown

Title
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Yun Qu W. Wang Yixiu Mao Yiqin Lv Xiangyang Ji TTA 78 0 0 27 Apr 2025
Text-to-Decision Agent: Learning Generalist Policies from Natural Language Supervision Shilin Zhang Zican Hu Wenhao Wu Xinyi Xie Jianxiang Tang Chunlin Chen Daoyi Dong Yu Cheng Zhenhong Sun Zhi Wang OffRL 38 0 0 21 Apr 2025
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with $ε$ -Greedy Exploration Shuai Zhang Hongkang Li Meng Wang Miao Liu Pin-Yu Chen Songtao Lu Sijia Liu K. Murugesan Subhajit Chaudhury 27 19 0 24 Oct 2023
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 8,261 0 28 Jan 2022
Exploratory State Representation Learning Astrid Merckling Nicolas Perrin-Gilbert Alexandre Coninx Stéphane Doncieux OffRL 17 6 0 28 Sep 2021
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq R. Joty S. Hoi 201 1,451 0 02 Sep 2021
Soft Actor-Critic for Discrete Action Settings Petros Christodoulou OffRL 104 292 0 16 Oct 2019