Extracting Heuristics from Large Language Models for Reward Shaping in Reinforcement Learning
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Bhambri, Siddhant, Bhattacharjee, Amrita, Kalwar, Durgesh, Guan, Lin, Liu, Huan, Kambhampati, Subbarao |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Local Coherence or Global Validity? Investigating RLVR Traces in Math Domains
par: Samineni, Soumya Rani, et autres
Publié: (2025)
par: Samineni, Soumya Rani, et autres
Publié: (2025)
Incorporating Human Flexibility through Reward Preferences in Human-AI Teaming
par: Bhambri, Siddhant, et autres
Publié: (2023)
par: Bhambri, Siddhant, et autres
Publié: (2023)
On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models
par: Verma, Mudit, et autres
Publié: (2024)
par: Verma, Mudit, et autres
Publié: (2024)
RL in Name Only? Analyzing the Structural Assumptions in RL post-training for LLMs
par: Samineni, Soumya Rani, et autres
Publié: (2025)
par: Samineni, Soumya Rani, et autres
Publié: (2025)
Theory of Mind abilities of Large Language Models in Human-Robot Interaction : An Illusion?
par: Verma, Mudit, et autres
Publié: (2024)
par: Verma, Mudit, et autres
Publié: (2024)
Can Large Language Models Reason and Plan?
par: Kambhampati, Subbarao
Publié: (2024)
par: Kambhampati, Subbarao
Publié: (2024)
LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks
par: Kambhampati, Subbarao, et autres
Publié: (2024)
par: Kambhampati, Subbarao, et autres
Publié: (2024)
Do Cognitively Interpretable Reasoning Traces Improve LLM Performance?
par: Bhambri, Siddhant, et autres
Publié: (2025)
par: Bhambri, Siddhant, et autres
Publié: (2025)
Interpretable Traces, Unexpected Outcomes: Investigating the Disconnect in Trace-Based Knowledge Distillation
par: Bhambri, Siddhant, et autres
Publié: (2025)
par: Bhambri, Siddhant, et autres
Publié: (2025)
Position: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!
par: Kambhampati, Subbarao, et autres
Publié: (2025)
par: Kambhampati, Subbarao, et autres
Publié: (2025)
Who is Helping Whom? Analyzing Inter-dependencies to Evaluate Cooperation in Human-AI Teaming
par: Biswas, Upasana, et autres
Publié: (2025)
par: Biswas, Upasana, et autres
Publié: (2025)
Mind The Gap: Quantifying Mechanistic Gaps in Algorithmic Reasoning via Neural Compilation
par: Saldyt, Lucas, et autres
Publié: (2025)
par: Saldyt, Lucas, et autres
Publié: (2025)
Efficiency Boost in Decentralized Optimization: Reimagining Neighborhood Aggregation with Minimal Overhead
par: Kalwar, Durgesh, et autres
Publié: (2025)
par: Kalwar, Durgesh, et autres
Publié: (2025)
Robust Planning with LLM-Modulo Framework: Case Study in Travel Planning
par: Gundawar, Atharva, et autres
Publié: (2024)
par: Gundawar, Atharva, et autres
Publié: (2024)
Towards Interpretable Hate Speech Detection using Large Language Model-extracted Rationales
par: Nirmal, Ayushi, et autres
Publié: (2024)
par: Nirmal, Ayushi, et autres
Publié: (2024)
Adversarial Text Purification: A Large Language Model Approach for Defense
par: Moraffah, Raha, et autres
Publié: (2024)
par: Moraffah, Raha, et autres
Publié: (2024)
Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning
par: Zha, Yantian, et autres
Publié: (2021)
par: Zha, Yantian, et autres
Publié: (2021)
Text2Reward: Reward Shaping with Language Models for Reinforcement Learning
par: Xie, Tianbao, et autres
Publié: (2023)
par: Xie, Tianbao, et autres
Publié: (2023)
Zero-shot LLM-guided Counterfactual Generation: A Case Study on NLP Model Evaluation
par: Bhattacharjee, Amrita, et autres
Publié: (2024)
par: Bhattacharjee, Amrita, et autres
Publié: (2024)
Beyond Semantics: The Unreasonable Effectiveness of Reasonless Intermediate Tokens
par: Valmeekam, Karthik, et autres
Publié: (2025)
par: Valmeekam, Karthik, et autres
Publié: (2025)
Automatic Reward Shaping from Multi-Objective Human Heuristics
par: Xie, Yuqing, et autres
Publié: (2025)
par: Xie, Yuqing, et autres
Publié: (2025)
EAGLE: A Domain Generalization Framework for AI-generated Text Detection
par: Bhattacharjee, Amrita, et autres
Publié: (2024)
par: Bhattacharjee, Amrita, et autres
Publié: (2024)
Towards LLM-guided Causal Explainability for Black-box Text Classifiers
par: Bhattacharjee, Amrita, et autres
Publié: (2023)
par: Bhattacharjee, Amrita, et autres
Publié: (2023)
On the Self-Verification Limitations of Large Language Models on Reasoning and Planning Tasks
par: Stechly, Kaya, et autres
Publié: (2024)
par: Stechly, Kaya, et autres
Publié: (2024)
Enhancing Q-Learning with Large Language Model Heuristics
par: Wu, Xiefeng
Publié: (2024)
par: Wu, Xiefeng
Publié: (2024)
Reward Generation via Large Vision-Language Model in Offline Reinforcement Learning
par: Lee, Younghwan, et autres
Publié: (2025)
par: Lee, Younghwan, et autres
Publié: (2025)
Algorithmic Language Models with Neurally Compiled Libraries
par: Saldyt, Lucas, et autres
Publié: (2024)
par: Saldyt, Lucas, et autres
Publié: (2024)
Reward Guidance for Reinforcement Learning Tasks Based on Large Language Models: The LMGT Framework
par: Deng, Yongxin, et autres
Publié: (2024)
par: Deng, Yongxin, et autres
Publié: (2024)
Subgoal-based Reward Shaping to Improve Efficiency in Reinforcement Learning
par: Okudo, Takato, et autres
Publié: (2021)
par: Okudo, Takato, et autres
Publié: (2021)
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning
par: Ma, Haozhe, et autres
Publié: (2024)
par: Ma, Haozhe, et autres
Publié: (2024)
An Automated Reinforcement Learning Reward Design Framework with Large Language Model for Cooperative Platoon Coordination
par: Wei, Dixiao, et autres
Publié: (2025)
par: Wei, Dixiao, et autres
Publié: (2025)
On the Sample Efficiency of Abstractions and Potential-Based Reward Shaping in Reinforcement Learning
par: Canonaco, Giuseppe, et autres
Publié: (2024)
par: Canonaco, Giuseppe, et autres
Publié: (2024)
Shaping Sparse Rewards in Reinforcement Learning: A Semi-supervised Approach
par: Li, Wenyun, et autres
Publié: (2025)
par: Li, Wenyun, et autres
Publié: (2025)
Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
par: Rocamonde, Juan, et autres
Publié: (2023)
par: Rocamonde, Juan, et autres
Publié: (2023)
Efficient Reinforcement Learning in Probabilistic Reward Machines
par: Lin, Xiaofeng, et autres
Publié: (2024)
par: Lin, Xiaofeng, et autres
Publié: (2024)
Enhancing Inverse Reinforcement Learning through Encoding Dynamic Information in Reward Shaping
par: Zhan, Simon Sinong, et autres
Publié: (2024)
par: Zhan, Simon Sinong, et autres
Publié: (2024)
Using Large Language Models to Automate and Expedite Reinforcement Learning with Reward Machine
par: Alsadat, Shayan Meshkat, et autres
Publié: (2024)
par: Alsadat, Shayan Meshkat, et autres
Publié: (2024)
Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment
par: Wang, Chaoqi, et autres
Publié: (2025)
par: Wang, Chaoqi, et autres
Publié: (2025)
$n$-Musketeers: Reinforcement Learning Shapes Collaboration Among Language Models
par: Masukawa, Ryozo, et autres
Publié: (2026)
par: Masukawa, Ryozo, et autres
Publié: (2026)
Chain of Uncertain Rewards with Large Language Models for Reinforcement Learning
par: Mo, Shentong
Publié: (2026)
par: Mo, Shentong
Publié: (2026)
Documents similaires
-
Local Coherence or Global Validity? Investigating RLVR Traces in Math Domains
par: Samineni, Soumya Rani, et autres
Publié: (2025) -
Incorporating Human Flexibility through Reward Preferences in Human-AI Teaming
par: Bhambri, Siddhant, et autres
Publié: (2023) -
On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models
par: Verma, Mudit, et autres
Publié: (2024) -
RL in Name Only? Analyzing the Structural Assumptions in RL post-training for LLMs
par: Samineni, Soumya Rani, et autres
Publié: (2025) -
Theory of Mind abilities of Large Language Models in Human-Robot Interaction : An Illusion?
par: Verma, Mudit, et autres
Publié: (2024)