VACE: Validation-Gated Alternating Co-Evolution of Agent Models and Harnesses
cs.LG, cs.AI, cs.CL
Submitted: 2026-09-29
Updated: 2026-09-29
Code: https://github.com/verl-project/uni-agent
Terminology
Sources
- GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
- AgentCPM-Explore: Realizing Long-Horizon Deep Exploration for Edge-Scale Agents
- Co-Harness: Co-Evolving Harnesses and Model Weights for LLM Agents
- Generalization in Adaptive Data Analysis and Holdout Reuse
- SIA: Self Improving AI with Harness & Weight Updates
- HarnessEvolve: Learning from Reference Trajectories for Reliable Agent Self-Evolution
- Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
- DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
- WHALE: A Simple Recipe for Joint Harness-Weight Optimization
- Agent Lightning: Train ANY AI Agents with Reinforcement Learning
- ToolRL: Reward is All Tool Learning Needs
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- AutomationBench
- Reflexion: Language Agents with Verbal Reinforcement Learning
- RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning
- WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning
- DAPO: An Open-Source LLM Reinforcement Learning System at Scale
- TextGrad: Automatic "Differentiation" via Text
- Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents
- Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models
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