Cover Image

Which Experiences Are Influential for RL Agents? Efficiently Estimating The Influence of Experiences

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hiraoka, Takuya, Wang, Guanquan, Onishi, Takashi, Tsuruoka, Yoshimasa
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Consistency Trajectory Planning: High-Quality and Efficient Trajectory Optimization for Offline Model-Based Reinforcement Learning
by: Wang, Guanquan, et al.
Published: (2025)

CoverLib: Classifiers-equipped Experience Library by Iterative Problem Distribution Coverage Maximization for Domain-tuned Motion Planning
by: Ishida, Hirokazu, et al.
Published: (2024)

SLEA-RL: Step-Level Experience Augmented Reinforcement Learning for Multi-Turn Agentic Training
by: Wang, Prince Zizhuang, et al.
Published: (2026)

DrugSAGE:Self-evolving Agent Experience for Efficient State-of-the-Art Drug Discovery
by: Zhang, Yikun, et al.
Published: (2026)

Efficient Preference-based Reinforcement Learning via Aligned Experience Estimation
by: Bai, Fengshuo, et al.
Published: (2024)

Efficient Diversity-based Experience Replay for Deep Reinforcement Learning
by: Zhao, Kaiyan, et al.
Published: (2024)

FLEX: Continuous Agent Evolution via Forward Learning from Experience
by: Cai, Zhicheng, et al.
Published: (2025)

Decocted Experience Improves Test-Time Inference in LLM Agents
by: Shen, Maohao, et al.
Published: (2026)

When Continual Learning Moves to Memory: A Study of Experience Reuse in LLM Agents
by: Hu, Qisheng, et al.
Published: (2026)

Enhancing LLM Agents for Code Generation with Possibility and Pass-rate Prioritized Experience Replay
by: Chen, Yuyang, et al.
Published: (2024)

Influential Bandits: Pulling an Arm May Change the Environment
by: Sato, Ryoma, et al.
Published: (2025)

Experience-Evolving Multi-Turn Tool-Use Agent with Hybrid Episodic-Procedural Memory
by: Li, Sijia, et al.
Published: (2025)

CoPS: Empowering LLM Agents with Provable Cross-Task Experience Sharing
by: Yang, Chen, et al.
Published: (2024)

ArenaRL: Scaling RL for Open-Ended Agents via Tournament-based Relative Ranking
by: Zhang, Qiang, et al.
Published: (2026)

Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization
by: Li, Haoran, et al.
Published: (2024)

Beyond Experience Retrieval: Learning to Generate Utility-Optimized Structured Experience for Frozen LLMs
by: Li, Xuancheng, et al.
Published: (2026)

Positive Experience Reflection for Agents in Interactive Text Environments
by: Lippmann, Philip, et al.
Published: (2024)

VLM-Guided Experience Replay
by: Sharony, Elad, et al.
Published: (2026)

Experience Replay with Random Reshuffling
by: Fujita, Yasuhiro
Published: (2025)

Agent Learning via Early Experience
by: Zhang, Kai, et al.
Published: (2025)

Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator
by: Watanabe, Shuhei, et al.
Published: (2022)

TED: Training-Free Experience Distillation for Multimodal Reasoning
by: Yuan, Shuozhi, et al.
Published: (2026)

Mastering the Game of Go with Self-play Experience Replay
by: Liu, Jingbin, et al.
Published: (2026)

Enhanced-FQL($λ$), an Efficient and Interpretable RL with novel Fuzzy Eligibility Traces and Segmented Experience Replay
by: Jalaeian-Farimani, Mohsen, et al.
Published: (2026)

Meta-RL Induces Exploration in Language Agents
by: Jiang, Yulun, et al.
Published: (2025)

Token-Efficient RL for LLM Reasoning
by: Lee, Alan, et al.
Published: (2025)

ProgAgent:A Continual RL Agent with Progress-Aware Rewards
by: Tan, Jinzhou, et al.
Published: (2026)

Simulator and Experience Enhanced Diffusion Model for Comprehensive ECG Generation
by: Wang, Xiaoda, et al.
Published: (2025)

Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization
by: Ishibashi, Yoichi, et al.
Published: (2024)

LESS: Selecting Influential Data for Targeted Instruction Tuning
by: Xia, Mengzhou, et al.
Published: (2024)

MobileRL: Online Agentic Reinforcement Learning for Mobile GUI Agents
by: Xu, Yifan, et al.
Published: (2025)

Can Past Experience Accelerate LLM Reasoning?
by: Pan, Bo, et al.
Published: (2025)

MindSpeed RL: Distributed Dataflow for Scalable and Efficient RL Training on Ascend NPU Cluster
by: Feng, Laingjun, et al.
Published: (2025)

OEP: Poisoning Self-Evolving LLM Agents via Locally Correct but Non-Transferable Experiences
by: Wang, Kaixiang, et al.
Published: (2026)

Cross-Modal Unlearning via Influential Neuron Path Editing in Multimodal Large Language Models
by: Li, Kunhao, et al.
Published: (2025)

A Comedy of Estimators: On KL Regularization in RL Training of LLMs
by: Shah, Vedant, et al.
Published: (2025)

Sample Efficient Experience Replay in Non-stationary Environments
by: Duan, Tianyang, et al.
Published: (2025)

Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation
by: Cherepanov, Egor, et al.
Published: (2024)

Proto Successor Measure: Representing the Behavior Space of an RL Agent
by: Agarwal, Siddhant, et al.
Published: (2024)

Mind the Model, Not the Agent: The Primacy Bias in Model-based RL
by: Qiao, Zhongjian, et al.
Published: (2023)