v1v2 (latest)

Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs

30 January 2023

Papers citing "Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs"

35 / 35 papers shown

Title
Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search Max Liu Chan-Hung Yu Wei-Hsu Lee Cheng-Wei Hung Yen-Chun Chen Shao-Hua Sun 105 5 0 26 May 2024
CodeT5+: Open Code Large Language Models for Code Understanding and Generation Yue Wang Hung Le Akhilesh Deepak Gotmare Nghi D. Q. Bui Junnan Li Steven C. H. Hoi ALM 85 491 0 13 May 2023
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey Chao Yu Xuejing Zheng H. Zhuo OffRL LRM 115 8 0 24 Apr 2023
Teaching Large Language Models to Self-Debug Xinyun Chen Maxwell Lin Nathanael Scharli Denny Zhou LRM 124 702 0 11 Apr 2023
Hierarchical Neural Program Synthesis Linghan Zhong Ryan Lindeborg Jesse Zhang Joseph J. Lim Shao-Hua Sun 68 9 0 09 Mar 2023
Competition-Level Code Generation with AlphaCode Yujia Li David Choi Junyoung Chung Nate Kushman Julian Schrittwieser ... Esme Sutherland Robson Pushmeet Kohli Nando de Koray Kavukcuoglu Oriol Vinyals 148 1,425 0 08 Feb 2022
Synchromesh: Reliable code generation from pre-trained language models Gabriel Poesia Oleksandr Polozov Vu Le A. Tiwari Gustavo Soares Christopher Meek Sumit Gulwani 66 162 0 26 Jan 2022
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq Joty Guosheng Lin 296 1,592 0 02 Sep 2021
Learning to Synthesize Programs as Interpretable and Generalizable Policies Dweep Trivedi Jesse Zhang Shao-Hua Sun Joseph J. Lim NAI 103 74 0 31 Aug 2021
Evaluating Large Language Models Trained on Code Mark Chen Jerry Tworek Heewoo Jun Qiming Yuan Henrique Pondé ... Bob McGrew Dario Amodei Sam McCandlish Ilya Sutskever Wojciech Zaremba ELM ALM 236 5,665 0 07 Jul 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned Julian Ibarz Jie Tan Chelsea Finn Mrinal Kalakrishnan P. Pastor Sergey Levine OffRL 158 533 0 04 Feb 2021
Latent Programmer: Discrete Latent Codes for Program Synthesis Joey Hong David Dohan Rishabh Singh Charles Sutton Manzil Zaheer 125 23 0 01 Dec 2020
DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning Kevin Ellis Catherine Wong Maxwell Nye Mathias Sablé-Meyer Luc Cary Lucas Morales Luke B. Hewitt Armando Solar-Lezama J. Tenenbaum NAI CLL 101 196 0 15 Jun 2020
Explainable Reinforcement Learning: A Survey Erika Puiutta Eric M. S. P. Veith XAI 74 248 0 13 May 2020
TreeGen: A Tree-Based Transformer Architecture for Code Generation Zeyu Sun Qihao Zhu Yingfei Xiong Yican Sun Lili Mou Lu Zhang 69 175 0 22 Nov 2019
Neural Logic Machines Honghua Dong Jiayuan Mao Tian Lin Chong-Jun Wang Lihong Li Denny Zhou NAI LRM AI4CE 134 250 0 26 Apr 2019
Few-Shot Bayesian Imitation Learning with Logical Program Policies Tom Silver Kelsey R. Allen Alexander K. Lew L. Kaelbling J. Tenenbaum LM&Ro 113 52 0 12 Apr 2019
Learning to Infer and Execute 3D Shape Programs Yonglong Tian Andrew F. Luo Xingyuan Sun Kevin Ellis William T. Freeman J. Tenenbaum Jiajun Wu 3DV 94 147 0 09 Jan 2019
Quantifying Generalization in Reinforcement Learning K. Cobbe Oleg Klimov Christopher Hesse Taehoon Kim John Schulman OffRL 109 676 0 06 Dec 2018
Verifiable Reinforcement Learning via Policy Extraction Osbert Bastani Yewen Pu Armando Solar-Lezama OffRL 139 338 0 22 May 2018
Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis Rudy Bunel Matthew J. Hausknecht Jacob Devlin Rishabh Singh Pushmeet Kohli NAI 110 220 0 11 May 2018
A Study on Overfitting in Deep Reinforcement Learning Chiyuan Zhang Oriol Vinyals Rémi Munos Samy Bengio OffRL OnRL 59 391 0 18 Apr 2018
Programmatically Interpretable Reinforcement Learning Abhinav Verma V. Murali Rishabh Singh Pushmeet Kohli Swarat Chaudhuri 130 355 0 06 Apr 2018
NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to the Linux Operating System Xi Lin Chenglong Wang Luke Zettlemoyer Michael D. Ernst 139 168 0 25 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 317 8,420 0 04 Jan 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 547 19,296 0 20 Jul 2017
RobustFill: Neural Program Learning under Noisy I/O Jacob Devlin J. Uesato Surya Bhupatiraju Rishabh Singh Abdel-rahman Mohamed Pushmeet Kohli 78 393 0 21 Mar 2017
FeUdal Networks for Hierarchical Reinforcement Learning A. Vezhnevets Simon Osindero Tom Schaul N. Heess Max Jaderberg David Silver Koray Kavukcuoglu FedML 96 907 0 03 Mar 2017
DeepCoder: Learning to Write Programs Matej Balog Alexander L. Gaunt Marc Brockschmidt Sebastian Nowozin Daniel Tarlow AIMat NAI 103 575 0 07 Nov 2016
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates S. Gu E. Holly Timothy Lillicrap Sergey Levine OffRL SSL 116 1,483 0 03 Oct 2016
The Option-Critic Architecture Pierre-Luc Bacon J. Harb Doina Precup OffRL 71 1,089 0 16 Sep 2016
The Mythos of Model Interpretability Zachary Chase Lipton FaML 183 3,708 0 10 Jun 2016
Neural Programmer-Interpreters Scott E. Reed Nando de Freitas 103 411 0 19 Nov 2015
Neural Turing Machines Alex Graves Greg Wayne Ivo Danihelka 111 2,333 0 20 Oct 2014
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches Kyunghyun Cho B. V. Merrienboer Dzmitry Bahdanau Yoshua Bengio AI4CE AIMat 259 6,791 0 03 Sep 2014