Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search

Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search

26 May 2024

Papers citing "Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search"

9 / 9 papers shown

Title
Reclaiming the Source of Programmatic Policies: Programmatic versus Latent Spaces Tales H. Carvalho Kenneth Tjhia Levi H. S. Lelis 26 6 0 16 Oct 2024
COOL: Efficient and Reliable Chain-Oriented Objective Logic with Neural Networks Feedback Control for Program Synthesis Jipeng Han 20 0 0 02 Oct 2024
Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers Vidhi Jain Maria Attarian Nikhil J. Joshi Ayzaan Wahid Danny Driess ... Stefan Welker Christine Chan Igor Gilitschenski Yonatan Bisk Debidatta Dwibedi 65 27 0 19 Mar 2024
CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay Natasha Butt Blazej Manczak Auke Wiggers Corrado Rainone David W. Zhang Michaël Defferrard Taco S. Cohen ReLM LRM 41 17 0 07 Feb 2024
Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs Guanhui. Liu En-Pei Hu Pu-Jen Cheng Hung-yi Lee Shao-Hua Sun 60 10 0 30 Jan 2023
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning Hung Le Yue Wang Akhilesh Deepak Gotmare Silvio Savarese S. Hoi SyDa ALM 116 232 0 05 Jul 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 301 11,730 0 04 Mar 2022
A Systematic Evaluation of Large Language Models of Code Frank F. Xu Uri Alon Graham Neubig Vincent J. Hellendoorn ELM ALM 188 624 0 26 Feb 2022
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 219 2,098 0 28 Feb 2017