Cover Image

FutureWorld: A Live Reinforcement Learning Environment for Predictive Agents with Real-World Outcome Rewards

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Han, Zhixin, Zhang, Yanzhi, Wei, Chuyang, Gao, Maohang, Yue, Xiawei, Chen, Kefei, Zhuang, Yu, Guan, Haoxiang, He, Jiyan, Li, Jian, Duan, Yitong, Shi, Yu, Hu, Mengting, Zheng, Shuxin
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Harnessing Pre-Resolution Signals for Future Prediction Agents
by: Wei, Chuyang, et al.
Published: (2026)

Population-Evolve: a Parallel Sampling and Evolutionary Method for LLM Math Reasoning
by: Zhang, Yanzhi, et al.
Published: (2025)

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning
by: Zhang, Yanzhi, et al.
Published: (2025)

Can a Lightweight Automated AI Pipeline Solve Research-Level Mathematical Problems?
by: Meng, Lve, et al.
Published: (2026)

Towards Generalist Prompting for Large Language Models by Mental Models
by: Guan, Haoxiang, et al.
Published: (2024)

GTM: Simulating the World of Tools for AI Agents
by: Ren, Zhenzhen, et al.
Published: (2025)

Sparse Autoencoders Reveal Interpretable Structure in Small Gene Language Models
by: Guan, Haoxiang, et al.
Published: (2025)

Reinforced Embodied Planning with Verifiable Reward for Real-World Robotic Manipulation
by: Bo, Zitong, et al.
Published: (2025)

Action Recognition in Real-World Ambient Assisted Living Environment
by: Zakka, Vincent Gbouna, et al.
Published: (2025)

Exploring In-Image Machine Translation with Real-World Background
by: Tian, Yanzhi, et al.
Published: (2025)

Future-as-Label: Scalable Supervision from Real-World Outcomes
by: Turtel, Benjamin, et al.
Published: (2026)

RLNVR: Reinforcement Learning from Non-Verified Real-World Rewards
by: Krishnan, Rohit, et al.
Published: (2025)

DV-World: Benchmarking Data Visualization Agents in Real-World Scenarios
by: Meng, Jinxiang, et al.
Published: (2026)

Modeling Earth-Scale Human-Like Societies with One Billion Agents
by: Guan, Haoxiang, et al.
Published: (2025)

LiveTradeBench: Seeking Real-World Alpha with Large Language Models
by: Yu, Haofei, et al.
Published: (2025)

Drugs - Real World Outcomes
Published: (2016)

Real World Assets on-Chain Assistance Low-Altitude Computility Networks: Architecture, Methodology, and Challenges
by: Luo, Haoxiang, et al.
Published: (2025)

Inferring World Belief States in Dynamic Real-World Environments
by: Kolb, Jack, et al.
Published: (2026)

Statistical Reinforcement Learning in the Real World: A Survey of Challenges and Future Directions
by: Gazi, Asim H., et al.
Published: (2026)

CIS-BA: Continuous Interaction Space Based Backdoor Attack for Object Detection in the Real-World
by: Zhao, Shuxin, et al.
Published: (2025)

Dynamic Docking Anti‐Disturbance Control of Overactuated AUV: System, Method, and Lake Trails
by: Yu Duan, et al.
Published: (2024)

LiveAgentBench: Comprehensive Benchmarking of Agentic Systems Across 104 Real-World Challenges
by: Li, Hao, et al.
Published: (2026)

Real-World Asset Integration in Next-Generation Communication Networks: Fundamental, Framework, and Case Study
by: Su, Tingxuan, et al.
Published: (2026)

Reward Auditor: Inference on Reward Modeling Suitability in Real-World Perturbed Scenarios
by: Zang, Jianxiang, et al.
Published: (2025)

Leveraging Genetic Algorithms for Efficient Demonstration Generation in Real-World Reinforcement Learning Environments
by: Maus, Tom, et al.
Published: (2025)

RUMOR: Reinforcement learning for Understanding a Model of the Real World for Navigation in Dynamic Environments
by: Martinez-Baselga, Diego, et al.
Published: (2024)

LiveStar: Live Streaming Assistant for Real-World Online Video Understanding
by: Yang, Zhenyu, et al.
Published: (2025)

Reinforcement Learning with Inverse Rewards for World Model Post-training
by: Ye, Yang, et al.
Published: (2025)

SocioVerse: A World Model for Social Simulation Powered by LLM Agents and A Pool of 10 Million Real-World Users
by: Zhang, Xinnong, et al.
Published: (2025)

Real‐World Cardiovascular Outcomes of Obesity Treatment With Tirzepatide Versus Semaglutide in Non‐Diabetic Adults
by: Mai Katsura, et al.
Published: (2026)

Towards Practical World Model-based Reinforcement Learning for Vision-Language-Action Models
by: Zhang, Zhilong, et al.
Published: (2026)

Graph World Models: Concepts, Taxonomy, and Future Directions
by: Liu, Jiawei, et al.
Published: (2026)

LiveWorld: Simulating Out-of-Sight Dynamics in Generative Video World Models
by: Duan, Zicheng, et al.
Published: (2026)

Enhancing Decision-Making of Large Language Models via Actor-Critic
by: Dong, Heng, et al.
Published: (2025)

Comparing Outcomes of Moyamoya Disease and Moyamoya Syndrome in a Real‐World Scenario: A Cohort Study
by: Xiao‐Peng Wang, et al.
Published: (2024)

RL-100: Performant Robotic Manipulation with Real-World Reinforcement Learning
by: Lei, Kun, et al.
Published: (2025)

Claw-Eval-Live: A Live Agent Benchmark for Evolving Real-World Workflows
by: Li, Chenxin, et al.
Published: (2026)

ADAM: An Embodied Causal Agent in Open-World Environments
by: Yu, Shu, et al.
Published: (2024)

VLA-RFT: Vision-Language-Action Reinforcement Fine-tuning with Verified Rewards in World Simulators
by: Li, Hengtao, et al.
Published: (2025)

Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence
by: Dong, Guanting, et al.
Published: (2026)