#JAX
3 related articles
JAX-Native Stream Learning Engine Released: Mondrian Tree Routing Delivers 50x Speedup
A JAX-native stream learning engine debuts with Mondrian tree routing, claiming 50x faster data processing and 3x lower memory node usage. We break down its technical principles, performance sources, engineering trade-offs, and suitable scenarios to help developers evaluate this new stream learning option.
AI Builds JAX Environment in 2.5 Days, Achieves 85% Win Rate for Getting Over It Agent
A Reddit user used Opus 5.5 to build a JAX Getting Over It environment; after 2.5 days of training, the agent reached an 85% win rate in the real game, showing the potential of LLM-driven environment generation.
Roxie: A New JAX-Based Reinforcement Learning Framework for MuJoCo Continuous Control
Roxie is a new JAX-based RL framework for MuJoCo continuous control, featuring 7 built-in agents (DDPG, TD3, SAC, PPO), fully compiled XLA training loops, GPU/CPU unified API, 500M-step benchmarks, and Hugging Face pretrained weights.