Enhancing Decision-Making of Large Language Models via Actor-Critic | Paper Citation Record

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This paper cites GPT-4 Technical Report.

Enhancing Decision-Making of Large Language Models via Actor-Critic GPT-4 Technical Report

Reference 1

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This paper cites G., Sutton, R.

Enhancing Decision-Making of Large Language Models via Actor-Critic G., Sutton, R

Reference 2

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This paper cites L., and Singh, S.

Enhancing Decision-Making of Large Language Models via Actor-Critic L., and Singh, S

Reference 3

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This paper cites The computational complexity of propositional strips planning.

Enhancing Decision-Making of Large Language Models via Actor-Critic The computational complexity of propositional strips planning

Reference 4

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This paper cites Grounding large language models in interactive environments with online reinforcement learning.

Enhancing Decision-Making of Large Language Models via Actor-Critic Grounding large language models in interactive environments with online reinforcement learning

Reference 5

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This paper cites Grounding large language models in interactive environments with online reinforcement learning, 2023 b.

Enhancing Decision-Making of Large Language Models via Actor-Critic Grounding large language models in interactive environments with online reinforcement learning, 2023 b

Reference 6

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This paper cites Decision transformer: Reinforcement learning via sequence modeling.

Enhancing Decision-Making of Large Language Models via Actor-Critic Decision transformer: Reinforcement learning via sequence modeling

Reference 7

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This paper cites BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning.

Enhancing Decision-Making of Large Language Models via Actor-Critic BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning

Reference 8

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Enhancing Decision-Making of Large Language Models via Actor-Critic Efficient selectivity and backup operators in monte-carlo tree search

Reference 9

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This paper cites The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks.

Enhancing Decision-Making of Large Language Models via Actor-Critic The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks

Reference 10

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This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Enhancing Decision-Making of Large Language Models via Actor-Critic DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 11

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Enhancing Decision-Making of Large Language Models via Actor-Critic Task and motion planning with large language models for object rearrangement

Reference 12

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This paper cites Low-rank modular reinforcement learning via muscle synergy.

Enhancing Decision-Making of Large Language Models via Actor-Critic Low-rank modular reinforcement learning via muscle synergy

Reference 13

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This paper cites PreAct: Prediction Enhances Agent's Planning Ability.

Enhancing Decision-Making of Large Language Models via Actor-Critic PreAct: Prediction Enhances Agent's Planning Ability

Reference 14

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This paper cites Addressing function approximation error in actor-critic methods.

Enhancing Decision-Making of Large Language Models via Actor-Critic Addressing function approximation error in actor-critic methods

Reference 15

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Enhancing Decision-Making of Large Language Models via Actor-Critic Aligning language models with preferences through f -divergence minimization

Reference 16

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This paper cites Benchmarking the spectrum of agent capabilities.

Enhancing Decision-Making of Large Language Models via Actor-Critic Benchmarking the spectrum of agent capabilities

Reference 17

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This paper cites Reasoning with language model is planning with world model.

Enhancing Decision-Making of Large Language Models via Actor-Critic Reasoning with language model is planning with world model

Reference 18

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This paper cites J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W.

Enhancing Decision-Making of Large Language Models via Actor-Critic J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W

Reference 19

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This paper cites Towards Reasoning in Large Language Models: A Survey.

Enhancing Decision-Making of Large Language Models via Actor-Critic Towards Reasoning in Large Language Models: A Survey

Reference 20

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This paper cites One policy to control them all: Shared modular policies for agent-agnostic control.

Enhancing Decision-Making of Large Language Models via Actor-Critic One policy to control them all: Shared modular policies for agent-agnostic control

Reference 21

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This paper cites Language models as zero-shot planners: Extracting actionable knowledge for embodied agents.

Enhancing Decision-Making of Large Language Models via Actor-Critic Language models as zero-shot planners: Extracting actionable knowledge for embodied agents

Reference 22

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This paper cites Inner Monologue: Embodied Reasoning through Planning with Language Models.

Enhancing Decision-Making of Large Language Models via Actor-Critic Inner Monologue: Embodied Reasoning through Planning with Language Models

Reference 23

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Enhancing Decision-Making of Large Language Models via Actor-Critic Unresolved cited work

Reference 24

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This paper cites Learning trajectory preferences for manipulators via iterative improvement.

Enhancing Decision-Making of Large Language Models via Actor-Critic Learning trajectory preferences for manipulators via iterative improvement

Reference 25

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Enhancing Decision-Making of Large Language Models via Actor-Critic Mistral 7B

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This paper cites A comprehensive survey on process-oriented automatic text summarization with exploration of llm-based methods.

Enhancing Decision-Making of Large Language Models via Actor-Critic A comprehensive survey on process-oriented automatic text summarization with exploration of llm-based methods

Reference 27

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Enhancing Decision-Making of Large Language Models via Actor-Critic Unresolved cited work

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This paper cites and Szepesv \'a ri, C.

Enhancing Decision-Making of Large Language Models via Actor-Critic and Szepesv \'a ri, C

Reference 29

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Enhancing Decision-Making of Large Language Models via Actor-Critic Y., McAleer, S., Fried, D., and Salakhutdinov, R

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Enhancing Decision-Making of Large Language Models via Actor-Critic S., Reid, M., Matsuo, Y., and Iwasawa, Y

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Enhancing Decision-Making of Large Language Models via Actor-Critic X., Nie, J.-Y., and Wen, J.-R

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Enhancing Decision-Making of Large Language Models via Actor-Critic Unigen: A unified generative framework for retrieval and question answering with large language models

Reference 33

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Enhancing Decision-Making of Large Language Models via Actor-Critic Unresolved cited work

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Enhancing Decision-Making of Large Language Models via Actor-Critic Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample Efficiency

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Enhancing Decision-Making of Large Language Models via Actor-Critic Unresolved cited work

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Enhancing Decision-Making of Large Language Models via Actor-Critic Meta llama 3

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Enhancing Decision-Making of Large Language Models via Actor-Critic Meta llama 3.1

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Enhancing Decision-Making of Large Language Models via Actor-Critic Augmented language models: a survey

Reference 39

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Enhancing Decision-Making of Large Language Models via Actor-Critic BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games

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Enhancing Decision-Making of Large Language Models via Actor-Critic Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning

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Enhancing Decision-Making of Large Language Models via Actor-Critic and Schaal, S

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Enhancing Decision-Making of Large Language Models via Actor-Critic Why think step by step? reasoning emerges from the locality of experience

Reference 43

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Enhancing Decision-Making of Large Language Models via Actor-Critic D., Ermon, S., and Finn, C

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Enhancing Decision-Making of Large Language Models via Actor-Critic Code Llama: Open Foundation Models for Code

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Enhancing Decision-Making of Large Language Models via Actor-Critic Proximal Policy Optimization Algorithms

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Enhancing Decision-Making of Large Language Models via Actor-Critic Reflexion: Language agents with verbal reinforcement learning

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Enhancing Decision-Making of Large Language Models via Actor-Critic Alfred: A benchmark for interpreting grounded instructions for everyday tasks

Reference 48

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Enhancing Decision-Making of Large Language Models via Actor-Critic Alfworld: Aligning text and embodied environments for interactive learning, 2021

Reference 49

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Enhancing Decision-Making of Large Language Models via Actor-Critic Progprompt: Generating situated robot task plans using large language models

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Enhancing Decision-Making of Large Language Models via Actor-Critic D., and Toshev, A

Reference 51

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Enhancing Decision-Making of Large Language Models via Actor-Critic True knowledge comes from practice: Aligning large language models with embodied environments via reinforcement learning

Reference 52

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Enhancing Decision-Making of Large Language Models via Actor-Critic Gemma: Open Models Based on Gemini Research and Technology

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Enhancing Decision-Making of Large Language Models via Actor-Critic Llama 2: Open Foundation and Fine-Tuned Chat Models

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Enhancing Decision-Making of Large Language Models via Actor-Critic Unresolved cited work

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Enhancing Decision-Making of Large Language Models via Actor-Critic V., Zhou, D., et al

Reference 56

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This paper cites Webshop: Towards scalable real-world web interaction with grounded language agents.

Enhancing Decision-Making of Large Language Models via Actor-Critic Webshop: Towards scalable real-world web interaction with grounded language agents

Reference 57

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Observation 42b7e1e6-0945-4541-b622-0bf63df593cc · outbound

This paper cites React: Synergizing reasoning and acting in language models.

Enhancing Decision-Making of Large Language Models via Actor-Critic React: Synergizing reasoning and acting in language models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T10:55:44.518179Z

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This paper cites C., Liu, Z., Feng, Y., Xue, L., Rithesh, R., Chen, Z., Zhang, J., Arpit, D., et al.

Enhancing Decision-Making of Large Language Models via Actor-Critic C., Liu, Z., Feng, Y., Xue, L., Rithesh, R., Chen, Z., Zhang, J., Arpit, D., et al

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:55:44.844499Z

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Observation 472a3cc8-de4a-4b05-8766-b80fb2efa25a · outbound

This paper cites Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach.

Enhancing Decision-Making of Large Language Models via Actor-Critic Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:55:44.581052Z

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Observation b77abfaa-bc0b-4880-bf6b-be5f5fbb1df1 · outbound

This paper cites Large language models are semi-parametric reinforcement learning agents.

Enhancing Decision-Making of Large Language Models via Actor-Critic Large language models are semi-parametric reinforcement learning agents

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:55:44.835461Z

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Observation b27d00e7-f66f-454a-b8f4-507347a539f5 · outbound

This paper cites Language agent tree search unifies reasoning, acting, and planning in language models.

Enhancing Decision-Making of Large Language Models via Actor-Critic Language agent tree search unifies reasoning, acting, and planning in language models

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:55:44.827040Z

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Observation 1d16ed95-0271-4c05-b3a7-166c87a4cd8f · outbound

This paper cites Archer: Training language model agents via hierarchical multi-turn rl.

Enhancing Decision-Making of Large Language Models via Actor-Critic Archer: Training language model agents via hierarchical multi-turn rl

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:55:44.818408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f1c2c3a5-e6c6-4360-8658-418e81908b5b · outbound

This paper cites write newline.

Enhancing Decision-Making of Large Language Models via Actor-Critic write newline

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T10:55:44.534042Z

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