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Retrospex: Language Agent Meets Offline Reinforcement Learning Critic
v1v2 (latest)

Retrospex: Language Agent Meets Offline Reinforcement Learning Critic

17 May 2025
Yufei Xiang
Yiqun Shen
Yeqin Zhang
Cam-Tu Nguyen
    OffRLLLMAGKELMLRM
ArXiv (abs)PDFHTML

Papers citing "Retrospex: Language Agent Meets Offline Reinforcement Learning Critic"

29 / 29 papers shown
Title
Controlled Agentic Planning & Reasoning for Mechanism Synthesis
Joao Pedro Gandarela
Thiago Rios
Stefan Menzel
André Freitas
LLMAGLRM
36
0
0
23 May 2025
A Survey on the Optimization of Large Language Model-based Agents
A Survey on the Optimization of Large Language Model-based Agents
Shangheng Du
Jiabao Zhao
Jinxin Shi
Zhentao Xie
Xin Jiang
Yanhong Bai
Liang He
LLMAGLM&RoLM&MA
517
5
0
16 Mar 2025
ReAct Meets ActRe: When Language Agents Enjoy Training Data Autonomy
ReAct Meets ActRe: When Language Agents Enjoy Training Data Autonomy
Zonghan Yang
Peng Li
Ming Yan
Ji Zhang
Fei Huang
Yang Liu
LLMAGLRM
90
9
0
21 Mar 2024
Offline Actor-Critic Reinforcement Learning Scales to Large Models
Offline Actor-Critic Reinforcement Learning Scales to Large Models
Jost Tobias Springenberg
A. Abdolmaleki
Jingwei Zhang
Oliver Groth
Michael Bloesch
...
Sarah Bechtle
Steven Kapturowski
Roland Hafner
N. Heess
Martin Riedmiller
OffRLLRM
83
16
0
08 Feb 2024
AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents
AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents
Chang Ma
Junlei Zhang
Zhihao Zhu
Cheng Yang
Yujiu Yang
Yaohui Jin
Zhenzhong Lan
Lingpeng Kong
Junxian He
ELMLLMAG
75
75
0
24 Jan 2024
AgentTuning: Enabling Generalized Agent Abilities for LLMs
AgentTuning: Enabling Generalized Agent Abilities for LLMs
Aohan Zeng
Mingdao Liu
Rui Lu
Bowen Wang
Xiao Liu
Yuxiao Dong
Jie Tang
LM&MAALMLLMAG
101
183
0
19 Oct 2023
ExpeL: LLM Agents Are Experiential Learners
ExpeL: LLM Agents Are Experiential Learners
Andrew Zhao
Daniel Huang
Quentin Xu
Matthieu Lin
Yang Liu
Gao Huang
LLMAG
106
223
0
20 Aug 2023
SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step
  Reasoning
SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning
Ning Miao
Yee Whye Teh
Tom Rainforth
ReLMLRM
57
135
0
01 Aug 2023
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world
  APIs
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
Yujia Qin
Shi Liang
Yining Ye
Kunlun Zhu
Lan Yan
...
Jie Zhou
Mark B. Gerstein
Dahai Li
Zhiyuan Liu
Maosong Sun
CLLALMLLMAGELMLM&MA
185
707
0
31 Jul 2023
Selective Perception: Optimizing State Descriptions with Reinforcement
  Learning for Language Model Actors
Selective Perception: Optimizing State Descriptions with Reinforcement Learning for Language Model Actors
Kolby Nottingham
Yasaman Razeghi
Kyungmin Kim
JB Lanier
Pierre Baldi
Roy Fox
Sameer Singh
84
10
0
21 Jul 2023
Direct Preference Optimization: Your Language Model is Secretly a Reward
  Model
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Rafael Rafailov
Archit Sharma
E. Mitchell
Stefano Ermon
Christopher D. Manning
Chelsea Finn
ALM
389
4,139
0
29 May 2023
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex
  Interactive Tasks
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks
Bill Yuchen Lin
Yicheng Fu
Karina Yang
Faeze Brahman
Shiyu Huang
Chandra Bhagavatula
Prithviraj Ammanabrolu
Yejin Choi
Xiang Ren
LLMAGLM&RoLRM
79
149
0
27 May 2023
Plan, Eliminate, and Track -- Language Models are Good Teachers for
  Embodied Agents
Plan, Eliminate, and Track -- Language Models are Good Teachers for Embodied Agents
Yu-Chih Chen
So Yeon Min
Chase Davis
Ruslan Salakhutdinov
A. Azaria
Yuan-Fang Li
Tom Michael Mitchell
A. Bovik
LM&RoLLMAG
120
34
0
03 May 2023
Self-Refine: Iterative Refinement with Self-Feedback
Self-Refine: Iterative Refinement with Self-Feedback
Aman Madaan
Niket Tandon
Prakhar Gupta
Skyler Hallinan
Luyu Gao
...
Bodhisattwa Prasad Majumder
Katherine Hermann
Sean Welleck
Amir Yazdanbakhsh
Peter Clark
ReLMLRMDiffM
175
1,670
0
30 Mar 2023
ReAct: Synergizing Reasoning and Acting in Language Models
ReAct: Synergizing Reasoning and Acting in Language Models
Shunyu Yao
Jeffrey Zhao
Dian Yu
Nan Du
Izhak Shafran
Karthik Narasimhan
Yuan Cao
LLMAGReLMLRM
436
2,955
0
06 Oct 2022
WebShop: Towards Scalable Real-World Web Interaction with Grounded
  Language Agents
WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents
Shunyu Yao
Howard Chen
John Yang
Karthik Narasimhan
LLMAGLM&Ro
159
516
0
04 Jul 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLMLRM
526
4,077
0
24 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLMBDLLRMAI4CE
526
3,721
0
21 Mar 2022
ScienceWorld: Is your Agent Smarter than a 5th Grader?
ScienceWorld: Is your Agent Smarter than a 5th Grader?
Ruoyao Wang
Peter Alexander Jansen
Marc-Alexandre Côté
Prithviraj Ammanabrolu
LLMAGReLMLRM
106
128
0
14 Mar 2022
Pre-Trained Language Models for Interactive Decision-Making
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
110
262
0
03 Feb 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
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&RoLRMAI4CEReLM
843
9,644
0
28 Jan 2022
Offline Reinforcement Learning with Implicit Q-Learning
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov
Ashvin Nair
Sergey Levine
OffRL
301
924
0
12 Oct 2021
ZeRO-Infinity: Breaking the GPU Memory Wall for Extreme Scale Deep
  Learning
ZeRO-Infinity: Breaking the GPU Memory Wall for Extreme Scale Deep Learning
Samyam Rajbhandari
Olatunji Ruwase
Jeff Rasley
Shaden Smith
Yuxiong He
GNN
86
387
0
16 Apr 2021
ALFWorld: Aligning Text and Embodied Environments for Interactive
  Learning
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
Mohit Shridhar
Xingdi Yuan
Marc-Alexandre Côté
Yonatan Bisk
Adam Trischler
Matthew J. Hausknecht
LM&RoLLMAG
92
443
0
08 Oct 2020
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Nils Reimers
Iryna Gurevych
1.3K
12,301
0
27 Aug 2019
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question
  Answering
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
Zhilin Yang
Peng Qi
Saizheng Zhang
Yoshua Bengio
William W. Cohen
Ruslan Salakhutdinov
Christopher D. Manning
RALM
188
2,694
0
25 Sep 2018
TextWorld: A Learning Environment for Text-based Games
TextWorld: A Learning Environment for Text-based Games
Marc-Alexandre Côté
Ákos Kádár
Xingdi Yuan
Ben A. Kybartas
Tavian Barnes
...
Matthew J. Hausknecht
Layla El Asri
Mahmoud Adada
Wendy Tay
Adam Trischler
LLMAG
46
372
0
29 Jun 2018
FEVER: a large-scale dataset for Fact Extraction and VERification
FEVER: a large-scale dataset for Fact Extraction and VERification
James Thorne
Andreas Vlachos
Christos Christodoulopoulos
Arpit Mittal
HILM
161
1,666
0
14 Mar 2018
Addressing Function Approximation Error in Actor-Critic Methods
Addressing Function Approximation Error in Actor-Critic Methods
Scott Fujimoto
H. V. Hoof
David Meger
OffRL
189
5,212
0
26 Feb 2018
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