Google DeepMind Introduces 'Evo2': Co-Evolving Agent Harnesses and Model Weights
Google DeepMind has introduced 'Evo2', a co-evolution framework that trains models using harness edit logs. Coupling proposer-reflector loops with SFT and inter
TAU-HOME.COM stories tagged ReinforcementLearning.
Google DeepMind has introduced 'Evo2', a co-evolution framework that trains models using harness edit logs. Coupling proposer-reflector loops with SFT and inter
Alibaba's Qwen team has unveiled QwenGyre, an elastic reinforcement learning framework designed for extreme-long-horizon agent training, cutting end-to-end trai
Hugging Face's CEO announced open-source reinforcement-learning environments built from OpenAI's math problems. He also disclosed the early limitation: the veri
A look at Agent Lightning, the Microsoft Research agentic reinforcement-learning framework: how it connects existing agents to RL training almost unchanged, wha
A verified-scope rundown of Dan Kondratyuk's October 7, 2026 agent meta-harness claim: a 15M-parameter Craftax agent with a claimed 44% final-boss win rate, abo
Laminar has unveiled flow-1, an RL model specialized in AI agent trace analysis and error detection. It matches GPT-6-sol in diagnostic quality while processing
Hugging Face released OpenEnv, an open-source capture proxy turning coding harnesses like Claude Code and Codex into RL environments without modifying harness o
SkyRL has documented a Kimi K2 INT4 LoRA recipe enabling full-context reinforcement learning for the 1T-parameter MoE model Kimi-K2.7-Code across just two 8-GPU
Kevin Zakka's open-source mjbatch bypasses Python GIL via a C++ thread pool, running thousands of parallel MuJoCo simulations on standard CPUs with batched stat
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