Scaling Verifiable Environments for Long-horizon Work Agents Paper • 2610.04906 • Published 7 days ago • 1
Scaling Verifiable Environments for Long-horizon Work Agents Paper • 2610.04906 • Published 7 days ago • 1
LifeSearch: Benchmarking Deep Research Agents for Real-World Life and Productivity Paper • 2610.18092 • Published 2 days ago • 15
Better Process Supervision with Bi-directional Rewarding Signals Paper • 2503.04618 • Published Mar 6, 2025
CAFE: Self-Improving Search Agents Need Co-Evolving Feedback Paper • 2608.24794 • Published Aug 25 • 7
AgentGym2: Benchmarking Large Language Model Agents in De-Idealized Real-World Environments Paper • 2607.05174 • Published Jul 6 • 1
SciAgentGym: Benchmarking Multi-Step Scientific Tool-use in LLM Agents Paper • 2602.12984 • Published Feb 13 • 7
AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning Paper • 2509.08755 • Published Sep 10, 2025 • 56
LifeSearch: Benchmarking Deep Research Agents for Real-World Life and Productivity Paper • 2610.18092 • Published 2 days ago • 15
Nex-N1: Agentic Models Trained via a Unified Ecosystem for Large-Scale Environment Construction Paper • 2512.04987 • Published Dec 4, 2025 • 86
AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning Paper • 2509.08755 • Published Sep 10, 2025 • 56