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Eureka: Human-Level Reward Design via Coding Large Language Models

Eureka: Human-Level Reward Design via Coding Large Language Models

19 October 2023
Yecheng Jason Ma
William Liang
Guanzhi Wang
De-An Huang
Osbert Bastani
Dinesh Jayaraman
Yuke Zhu
Linxi Fan
A. Anandkumar
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Papers citing "Eureka: Human-Level Reward Design via Coding Large Language Models"

50 / 73 papers shown
Title
Robust Model-Based In-Hand Manipulation with Integrated Real-Time Motion-Contact Planning and Tracking
Robust Model-Based In-Hand Manipulation with Integrated Real-Time Motion-Contact Planning and Tracking
Yongpeng Jiang
Mingrui Yu
Xinghao Zhu
M. Tomizuka
Xiang-Yang Li
49
0
0
08 May 2025
ADD: Physics-Based Motion Imitation with Adversarial Differential Discriminators
ADD: Physics-Based Motion Imitation with Adversarial Differential Discriminators
Ziyu Zhang
S. Bashkirov
Dun Yang
Michael Taylor
Xue Bin Peng
38
0
0
08 May 2025
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows
Wenhao Li
Bo Jin
Mingyi Hong
Changhong Lu
Xiangfeng Wang
48
0
0
07 May 2025
Meta-Optimization and Program Search using Language Models for Task and Motion Planning
Meta-Optimization and Program Search using Language Models for Task and Motion Planning
Denis Shcherba
Eckart Cobo-Briesewitz
Cornelius V. Braun
Marc Toussaint
LM&Ro
LRM
46
0
0
06 May 2025
RobotxR1: Enabling Embodied Robotic Intelligence on Large Language Models through Closed-Loop Reinforcement Learning
RobotxR1: Enabling Embodied Robotic Intelligence on Large Language Models through Closed-Loop Reinforcement Learning
Liam Boyle
Nicolas Baumann
Paviththiren Sivasothilingam
Michele Magno
Luca Benini
LM&Ro
LRM
51
0
0
06 May 2025
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning
Changxin Huang
Junyang Liang
Yanbin Chang
Jingzhao Xu
Jianqiang Li
34
0
0
05 May 2025
Prompt-responsive Object Retrieval with Memory-augmented Student-Teacher Learning
Prompt-responsive Object Retrieval with Memory-augmented Student-Teacher Learning
Malte Mosbach
Sven Behnke
31
0
0
04 May 2025
Transferable Adversarial Attacks on Black-Box Vision-Language Models
Transferable Adversarial Attacks on Black-Box Vision-Language Models
Kai Hu
Weichen Yu
L. Zhang
Alexander Robey
Andy Zou
Chengming Xu
Haoqi Hu
Matt Fredrikson
AAML
VLM
64
1
0
02 May 2025
PRISM: Projection-based Reward Integration for Scene-Aware Real-to-Sim-to-Real Transfer with Few Demonstrations
PRISM: Projection-based Reward Integration for Scene-Aware Real-to-Sim-to-Real Transfer with Few Demonstrations
Haowen Sun
Haoran Wang
Chengzhong Ma
Shaolong Zhang
Jiawei Ye
Xingyu Chen
Xuguang Lan
OffRL
53
1
0
29 Apr 2025
SAS-Prompt: Large Language Models as Numerical Optimizers for Robot Self-Improvement
SAS-Prompt: Large Language Models as Numerical Optimizers for Robot Self-Improvement
H. B. Amor
L. Graesser
Atil Iscen
David B. DÁmbrosio
Saminda Abeyruwan
Alex Bewley
Yifan Zhou
Kamalesh Kalirathinam
Swaroop Mishra
Pannag R. Sanketi
LLMAG
LM&Ro
LRM
102
0
0
29 Apr 2025
An Automated Reinforcement Learning Reward Design Framework with Large Language Model for Cooperative Platoon Coordination
An Automated Reinforcement Learning Reward Design Framework with Large Language Model for Cooperative Platoon Coordination
Dixiao Wei
Peng Yi
Jinlong Lei
Yiguang Hong
Yuchuan Du
134
0
0
28 Apr 2025
RL-Driven Data Generation for Robust Vision-Based Dexterous Grasping
RL-Driven Data Generation for Robust Vision-Based Dexterous Grasping
Atsushi Kanehira
Naoki Wake
Kazuhiro Sasabuchi
Jun Takamatsu
Katsushi Ikeuchi
42
0
0
25 Apr 2025
Cracking the Code of Action: a Generative Approach to Affordances for Reinforcement Learning
Cracking the Code of Action: a Generative Approach to Affordances for Reinforcement Learning
Lynn Cherif
Flemming Kondrup
David Venuto
Ankit Anand
Doina Precup
Khimya Khetarpal
LM&Ro
51
0
0
24 Apr 2025
Enhancing Autonomous Driving Systems with On-Board Deployed Large Language Models
Enhancing Autonomous Driving Systems with On-Board Deployed Large Language Models
Nicolas Baumann
Cheng Hu
Paviththiren Sivasothilingam
Haotong Qin
Lei Xie
Michele Magno
Luca Benini
27
1
0
15 Apr 2025
Boosting Universal LLM Reward Design through Heuristic Reward Observation Space Evolution
Boosting Universal LLM Reward Design through Heuristic Reward Observation Space Evolution
Zen Kit Heng
Zimeng Zhao
Tianhao Wu
Yuanfei Wang
Mingdong Wu
Yangang Wang
Hao Dong
35
0
0
10 Apr 2025
Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement Learning
Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement Learning
Anja Surina
Amin Mansouri
Lars Quaedvlieg
Amal Seddas
Maryna Viazovska
Emmanuel Abbe
Çağlar Gülçehre
38
1
0
07 Apr 2025
Recitation over Reasoning: How Cutting-Edge Language Models Can Fail on Elementary School-Level Reasoning Problems?
Recitation over Reasoning: How Cutting-Edge Language Models Can Fail on Elementary School-Level Reasoning Problems?
Kai Yan
Yufei Xu
Zhengyin Du
Xuesong Yao
Zhilin Wang
Xiaowen Guo
Jiecao Chen
ReLM
ELM
LRM
95
4
0
01 Apr 2025
LaMOuR: Leveraging Language Models for Out-of-Distribution Recovery in Reinforcement Learning
LaMOuR: Leveraging Language Models for Out-of-Distribution Recovery in Reinforcement Learning
Chan Kim
Seung-Woo Seo
Seong-Woo Kim
OODD
160
0
0
21 Mar 2025
Generative Artificial Intelligence in Robotic Manipulation: A Survey
Anton van den Hengel
Peng Yun
Jun Cen
Junhao Cai
DiDi Zhu
...
Qifeng Chen
Jia Pan
Wei Zhang
Bo Yang
Hua Chen
59
1
0
05 Mar 2025
Closing the Intent-to-Behavior Gap via Fulfillment Priority Logic
Closing the Intent-to-Behavior Gap via Fulfillment Priority Logic
B. Mabsout
Abdelrahman AbdelGawad
R. Mancuso
38
1
0
04 Mar 2025
M3HF: Multi-agent Reinforcement Learning from Multi-phase Human Feedback of Mixed Quality
Ziyan Wang
Zhicheng Zhang
Fei Fang
Yali Du
41
0
0
03 Mar 2025
SFO: Piloting VLM Feedback for Offline RL
SFO: Piloting VLM Feedback for Offline RL
Jacob Beck
OffRL
39
0
0
02 Mar 2025
TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning
TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning
Chengkai Xu
Jiaqi Liu
Shiyu Fang
Jian Sun
Dong Chen
Peng Hang
Jian Sun
99
1
0
21 Feb 2025
Evolving Symbolic 3D Visual Grounder with Weakly Supervised Reflection
Evolving Symbolic 3D Visual Grounder with Weakly Supervised Reflection
Boyu Mi
Hanqing Wang
Tai Wang
Yilun Chen
Jiangmiao Pang
74
0
0
21 Feb 2025
Learning a High-quality Robotic Wiping Policy Using Systematic Reward Analysis and Visual-Language Model Based Curriculum
Learning a High-quality Robotic Wiping Policy Using Systematic Reward Analysis and Visual-Language Model Based Curriculum
Yihong Liu
Dongyeop Kang
S. Ha
68
0
0
18 Feb 2025
A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards
A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards
Shivansh Patel
Xinchen Yin
Wenlong Huang
Shubham Garg
H. Nayyeri
Li Fei-Fei
Svetlana Lazebnik
Yongqian Li
92
0
0
12 Feb 2025
Cardiverse: Harnessing LLMs for Novel Card Game Prototyping
Cardiverse: Harnessing LLMs for Novel Card Game Prototyping
Danrui Li
Sen Zhang
Sam S. Sohn
Kaidong Hu
Muhammad Usman
Mubbasir Kapadia
40
0
0
10 Feb 2025
HAMSTER: Hierarchical Action Models For Open-World Robot Manipulation
HAMSTER: Hierarchical Action Models For Open-World Robot Manipulation
Yi Li
Yuquan Deng
Jingyang Zhang
Joel Jang
Marius Memme
...
Fabio Ramos
Dieter Fox
Anqi Li
Abhishek Gupta
Ankit Goyal
LM&Ro
99
9
0
08 Feb 2025
Articulate AnyMesh: Open-Vocabulary 3D Articulated Objects Modeling
Articulate AnyMesh: Open-Vocabulary 3D Articulated Objects Modeling
Xiaowen Qiu
Jincheng Yang
Yian Wang
Zhehuan Chen
Yufei Wang
Tsun-Hsuan Wang
Zhou Xian
Chuang Gan
97
5
0
04 Feb 2025
Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning
Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning
Patrick Yin
Tyler Westenbroek
Simran Bagaria
Kevin Huang
Ching-an Cheng
Andrey Kobolov
Abhishek Gupta
80
2
0
04 Feb 2025
Beyond Numeric Awards: In-Context Dueling Bandits with LLM Agents
Beyond Numeric Awards: In-Context Dueling Bandits with LLM Agents
Fanzeng Xia
Hao Liu
Yisong Yue
Tongxin Li
64
1
0
03 Jan 2025
An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems
An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems
Hashmath Shaik
Alex Doboli
OffRL
ELM
149
0
0
31 Dec 2024
ELEMENTAL: Interactive Learning from Demonstrations and Vision-Language Models for Reward Design in Robotics
ELEMENTAL: Interactive Learning from Demonstrations and Vision-Language Models for Reward Design in Robotics
Letian Chen
Nina Moorman
Matthew C. Gombolay
OffRL
LM&Ro
90
0
0
27 Nov 2024
Open-World Task and Motion Planning via Vision-Language Model Inferred Constraints
Open-World Task and Motion Planning via Vision-Language Model Inferred Constraints
Nishanth Kumar
F. Ramos
Dieter Fox
Caelan Reed Garrett
Tomás Lozano-Pérez
Leslie Pack Kaelbling
Caelan Reed Garrett
LRM
LM&Ro
68
3
0
13 Nov 2024
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization
Zeyuan Ma
Hongshu Guo
Yue-jiao Gong
Jun Zhang
Kay Chen Tan
104
2
0
01 Nov 2024
VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning
VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning
Yichao Liang
Nishanth Kumar
Hao Tang
Adrian Weller
J. Tenenbaum
Tom Silver
Joao Henriques
Kevin Ellis
45
8
0
30 Oct 2024
SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement
SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement
Antonis Antoniades
Albert Örwall
Kexun Zhang
Yuxi Xie
Anirudh Goyal
William Yang Wang
LLMAG
59
11
0
26 Oct 2024
The State of Robot Motion Generation
The State of Robot Motion Generation
Kostas E. Bekris
Joe Doerr
Patrick Meng
Sumanth Tangirala
3DV
36
2
0
16 Oct 2024
SEAL: SEmantic-Augmented Imitation Learning via Language Model
SEAL: SEmantic-Augmented Imitation Learning via Language Model
Chengyang Gu
Yuxin Pan
Haotian Bai
Hui Xiong
Yize Chen
27
0
0
03 Oct 2024
SPINE: Online Semantic Planning for Missions with Incomplete Natural Language Specifications in Unstructured Environments
SPINE: Online Semantic Planning for Missions with Incomplete Natural Language Specifications in Unstructured Environments
Zachary Ravichandran
Varun Murali
Mariliza Tzes
George J. Pappas
Vijay Kumar
LRM
53
8
0
03 Oct 2024
CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models
CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models
Kanghyun Ryu
Qiayuan Liao
Zhongyu Li
K. Sreenath
Negar Mehr
Negar Mehr
LM&Ro
162
3
0
27 Sep 2024
MotIF: Motion Instruction Fine-tuning
MotIF: Motion Instruction Fine-tuning
Minyoung Hwang
Joey Hejna
Dorsa Sadigh
Yonatan Bisk
51
1
0
16 Sep 2024
Embodiment-Agnostic Action Planning via Object-Part Scene Flow
Embodiment-Agnostic Action Planning via Object-Part Scene Flow
Weiliang Tang
Jia-Hui Pan
Wei Zhan
Jianshu Zhou
Huaxiu Yao
Yun-Hui Liu
M. Tomizuka
Mingyu Ding
Chi-Wing Fu
50
0
0
16 Sep 2024
AnyBipe: An End-to-End Framework for Training and Deploying Bipedal Robots Guided by Large Language Models
AnyBipe: An End-to-End Framework for Training and Deploying Bipedal Robots Guided by Large Language Models
Yifei Yao
Wentao He
Chenyu Gu
Jiaheng Du
Fuwei Tan
Zhen Zhu
Junguo Lu
OffRL
31
2
0
13 Sep 2024
Grammar-based Game Description Generation using Large Language Models
Grammar-based Game Description Generation using Large Language Models
Tsunehiko Tanaka
Edgar Simo-Serra
59
2
0
24 Jul 2024
Automatic Environment Shaping is the Next Frontier in RL
Automatic Environment Shaping is the Next Frontier in RL
Younghyo Park
G. Margolis
Pulkit Agrawal
OffRL
37
3
0
23 Jul 2024
Adapt2Reward: Adapting Video-Language Models to Generalizable Robotic
  Rewards via Failure Prompts
Adapt2Reward: Adapting Video-Language Models to Generalizable Robotic Rewards via Failure Prompts
Yanting Yang
Minghao Chen
Qibo Qiu
Jiahao Wu
Wenxiao Wang
Binbin Lin
Ziyu Guan
Xiaofei He
LM&Ro
45
2
0
20 Jul 2024
Affordance-Guided Reinforcement Learning via Visual Prompting
Affordance-Guided Reinforcement Learning via Visual Prompting
Olivia Y. Lee
Annie Xie
Kuan Fang
Karl Pertsch
Chelsea Finn
OffRL
LM&Ro
74
7
0
14 Jul 2024
RoboMorph: Evolving Robot Morphology using Large Language Models
RoboMorph: Evolving Robot Morphology using Large Language Models
Kevin Qiu
Krzysztof Ciebiera
Krzysztof Ciebiera
Marek Cygan
Marek Cygan
Łukasz Kuciński
LM&Ro
49
0
0
11 Jul 2024
$\mathrm{E^{2}CFD}$: Towards Effective and Efficient Cost Function
  Design for Safe Reinforcement Learning via Large Language Model
E2CFD\mathrm{E^{2}CFD}E2CFD: 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
35
0
0
08 Jul 2024
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