ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts
Fuente:
arXiv
Saved in:
| Main Authors: | Pang, Jing-Cheng, Li, Kaiyuan, Wang, Yidi, Yang, Si-Hang, Jiang, Shengyi, Yu, Yang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts
by: Pang, Jing-Cheng, et al.
Published: (2024)
by: Pang, Jing-Cheng, et al.
Published: (2024)
Reinforcement Learning With Sparse-Executing Actions via Sparsity Regularization
by: Pang, Jing-Cheng, et al.
Published: (2021)
by: Pang, Jing-Cheng, et al.
Published: (2021)
RLVR Training of LLMs Does Not Improve Thinking Ability for General QA: Evaluation Method and a Simple Solution
by: Li, Kaiyuan, et al.
Published: (2026)
by: Li, Kaiyuan, et al.
Published: (2026)
VLGOR: Visual-Language Knowledge Guided Offline Reinforcement Learning for Generalizable Agents
by: Liu, Pengsen, et al.
Published: (2026)
by: Liu, Pengsen, et al.
Published: (2026)
Reinforcement Learning with Promising Tokens for Large Language Models
by: Pang, Jing-Cheng, et al.
Published: (2026)
by: Pang, Jing-Cheng, et al.
Published: (2026)
Horizon Imagination: Efficient On-Policy Rollout in Diffusion World Models
by: Cohen, Lior, et al.
Published: (2026)
by: Cohen, Lior, et al.
Published: (2026)
On Rollouts in Model-Based Reinforcement Learning
by: Frauenknecht, Bernd, et al.
Published: (2025)
by: Frauenknecht, Bernd, et al.
Published: (2025)
Leveraging Error Diversity in Group Rollouts for Reinforcement Learning
by: Liu, Wenpu, et al.
Published: (2026)
by: Liu, Wenpu, et al.
Published: (2026)
Guided Cooperation in Hierarchical Reinforcement Learning via Model-based Rollout
by: Wang, Haoran, et al.
Published: (2023)
by: Wang, Haoran, et al.
Published: (2023)
Open-World Reinforcement Learning over Long Short-Term Imagination
by: Li, Jiajian, et al.
Published: (2024)
by: Li, Jiajian, et al.
Published: (2024)
EchoRL: Reinforcement Learning via Rollout Echoing
by: Bi, Jinhe, et al.
Published: (2026)
by: Bi, Jinhe, et al.
Published: (2026)
QuRL: Efficient Reinforcement Learning with Quantized Rollout
by: Li, Yuhang, et al.
Published: (2026)
by: Li, Yuhang, et al.
Published: (2026)
Contextual Rollout Bandits for Reinforcement Learning with Verifiable Rewards
by: Lu, Xiaodong, et al.
Published: (2026)
by: Lu, Xiaodong, et al.
Published: (2026)
SrSv: Integrating Sequential Rollouts with Sequential Value Estimation for Multi-agent Reinforcement Learning
by: Wan, Xu, et al.
Published: (2025)
by: Wan, Xu, et al.
Published: (2025)
InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models
by: Li, Linyi, et al.
Published: (2024)
by: Li, Linyi, et al.
Published: (2024)
BubbleSpec: Turning Long-Tail Bubbles into Speculative Rollout Drafts for Synchronous Reinforcement Learning
by: Xu, Yuhang, et al.
Published: (2026)
by: Xu, Yuhang, et al.
Published: (2026)
Bayesian Deployment Approval for Learned Landing Controllers under Finite Rollout Validation
by: Jiang, Fei, et al.
Published: (2026)
by: Jiang, Fei, et al.
Published: (2026)
LinkGPT: Teaching Large Language Models To Predict Missing Links
by: He, Zhongmou, et al.
Published: (2024)
by: He, Zhongmou, et al.
Published: (2024)
SPEC-RL: Accelerating On-Policy Reinforcement Learning with Speculative Rollouts
by: Liu, Bingshuai, et al.
Published: (2025)
by: Liu, Bingshuai, et al.
Published: (2025)
Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning
by: Liu, Xu-Hui, et al.
Published: (2024)
by: Liu, Xu-Hui, et al.
Published: (2024)
Off-Policy Value-Based Reinforcement Learning for Large Language Models
by: Wang, Peng-Yuan, et al.
Published: (2026)
by: Wang, Peng-Yuan, et al.
Published: (2026)
Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning
by: Xu, Yixuan Even, et al.
Published: (2025)
by: Xu, Yixuan Even, et al.
Published: (2025)
ECHO-2: A Large-Scale Distributed Rollout Framework for Cost-Efficient Reinforcement Learning
by: Song, Jingwei, et al.
Published: (2026)
by: Song, Jingwei, et al.
Published: (2026)
APRIL: Active Partial Rollouts in Reinforcement Learning to Tame Long-tail Generation
by: Zhou, Yuzhen, et al.
Published: (2025)
by: Zhou, Yuzhen, et al.
Published: (2025)
DynamicBench: Evaluating Real-Time Report Generation in Large Language Models
by: Li, Jingyao, et al.
Published: (2025)
by: Li, Jingyao, et al.
Published: (2025)
SRT: Accelerating Reinforcement Learning via Speculative Rollout with Tree-Structured Cache
by: Chang, Chi-Chih, et al.
Published: (2026)
by: Chang, Chi-Chih, et al.
Published: (2026)
Superior Computer Chess with Model Predictive Control, Reinforcement Learning, and Rollout
by: Gundawar, Atharva, et al.
Published: (2024)
by: Gundawar, Atharva, et al.
Published: (2024)
Generate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning
by: Surana, Rohan, et al.
Published: (2026)
by: Surana, Rohan, et al.
Published: (2026)
Jailbreak-AudioBench: In-Depth Evaluation and Analysis of Jailbreak Threats for Large Audio Language Models
by: Cheng, Hao, et al.
Published: (2025)
by: Cheng, Hao, et al.
Published: (2025)
Efficient Reinforcement Learning with Large Language Model Priors
by: Yan, Xue, et al.
Published: (2024)
by: Yan, Xue, et al.
Published: (2024)
ReLAM: Learning Anticipation Model for Rewarding Visual Robotic Manipulation
by: Tang, Nan, et al.
Published: (2025)
by: Tang, Nan, et al.
Published: (2025)
Nested-ReFT: Efficient Reinforcement Learning for Large Language Model Fine-Tuning via Off-Policy Rollouts
by: Heuillet, Maxime, et al.
Published: (2025)
by: Heuillet, Maxime, et al.
Published: (2025)
Rollout-Training Co-Design for Efficient LLM-Based Multi-Agent Reinforcement Learning
by: Jiang, Zhida, et al.
Published: (2026)
by: Jiang, Zhida, et al.
Published: (2026)
A Large Language Model-Driven Reward Design Framework via Dynamic Feedback for Reinforcement Learning
by: Sun, Shengjie, et al.
Published: (2024)
by: Sun, Shengjie, et al.
Published: (2024)
DyDiff: Long-Horizon Rollout via Dynamics Diffusion for Offline Reinforcement Learning
by: Zhao, Hanye, et al.
Published: (2024)
by: Zhao, Hanye, et al.
Published: (2024)
CMPhysBench: A Benchmark for Evaluating Large Language Models in Condensed Matter Physics
by: Wang, Weida, et al.
Published: (2025)
by: Wang, Weida, et al.
Published: (2025)
Large Language Models as Agents in Two-Player Games
by: Liu, Yang, et al.
Published: (2024)
by: Liu, Yang, et al.
Published: (2024)
TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models
by: Si, Haotian, et al.
Published: (2024)
by: Si, Haotian, et al.
Published: (2024)
Character Beyond Speech: Leveraging Role-Playing Evaluation in Audio Large Language Models via Reinforcement Learning
by: Fu, Dongjie, et al.
Published: (2026)
by: Fu, Dongjie, et al.
Published: (2026)
Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts
by: Zheng, Haizhong, et al.
Published: (2025)
by: Zheng, Haizhong, et al.
Published: (2025)
Similar Items
-
Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts
by: Pang, Jing-Cheng, et al.
Published: (2024) -
Reinforcement Learning With Sparse-Executing Actions via Sparsity Regularization
by: Pang, Jing-Cheng, et al.
Published: (2021) -
RLVR Training of LLMs Does Not Improve Thinking Ability for General QA: Evaluation Method and a Simple Solution
by: Li, Kaiyuan, et al.
Published: (2026) -
VLGOR: Visual-Language Knowledge Guided Offline Reinforcement Learning for Generalizable Agents
by: Liu, Pengsen, et al.
Published: (2026) -
Reinforcement Learning with Promising Tokens for Large Language Models
by: Pang, Jing-Cheng, et al.
Published: (2026)