Harness Scaling for Generalizable Agentic Reinforcement Learning Paper • 2610.29458 • Published 19 days ago • 16
Spectral-Driven Adaptive-Rank Optimizer for Large Language Model Reinforcement Learning with Verifiable Rewards Paper • 2610.16533 • Published 28 days ago • 10
ProgramGym: Scaling Training Environments for Long-Horizon Program Reproduction Agents Paper • 2610.13395 • Published Oct 9 • 45
Agent-Editing World Model: Rethinking World Modeling for LLM Agents Paper • 2609.28416 • Published Sep 23 • 26
CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Paper • 2608.06352 • Published Aug 6 • 15
AREX: Towards a Recursively Self-Improving Agent for Deep Research Paper • 2607.21461 • Published Jul 23 • 93
Ring-Zero: Scaling Zero RL to a Trillion Parameters for Emergent Reasoning Paper • 2607.12395 • Published Jul 14 • 91
Qwen-AgentWorld: Language World Models for General Agents Paper • 2606.24597 • Published Jun 23 • 163
FORT-Searcher: Synthesizing Shortcut-Resistant Search Tasks for Training Deep Search Agents Paper • 2606.12087 • Published Jun 10 • 50
DeNovoSWE: Scaling Long-Horizon Environments for Generating Entire Repositories from Scratch Paper • 2606.10728 • Published Jun 9 • 38
Beyond Semantic Similarity: Rethinking Retrieval for Agentic Search via Direct Corpus Interaction Paper • 2605.05242 • Published May 3 • 125
ClawGym: A Scalable Framework for Building Effective Claw Agents Paper • 2604.26904 • Published Apr 29 • 56
BeyondSWE: Can Current Code Agent Survive Beyond Single-Repo Bug Fixing? Paper • 2603.03194 • Published Mar 3 • 55
SWE Agent Series Collection Models trained by SWE-Master and SWE-World, including both policy models and verifiers. • 13 items • Updated Mar 23 • 4
SWE-Master: Unleashing the Potential of Software Engineering Agents via Post-Training Paper • 2602.03411 • Published Feb 3 • 39
SWE-World: Building Software Engineering Agents in Docker-Free Environments Paper • 2602.03419 • Published Feb 3 • 42