AR
Agent^2 RL-Bench
Agents / RAG Platforms·application·open·#286 of 886·+309·Rising
76.1
Moderate
High confidence
Agent^2 RL-Bench: Can LLM Agents Engineer Agentic RL Post-Training?
Pillar Breakdown
Adoption
35%
83.7
Maintenance
30%
77.0
Friction
20%
99.2
Ecosystem
15%
51.0
Momentum
0.61Rising
7d change -0.09
High confidenceIn Agents / RAG Platforms
Ranked #56 of 150