Cable Control: RL Tech Bridges Simulation to Reality
A new RL framework is transforming multi-stage cable routing. With GPU-powered simulations, it promises faster and more efficient real-world applications.
Read the full articleYou might also wanna read
OrthoRoute: GPU-Accelerated PCB Autorouter for Complex Circuit Board Routing
OrthoRoute: GPU-Accelerated PCB Autorouter
10 Open-Source Reinforcement Learning Frameworks for Training AI Agents
A practical list of agent RL training frameworks for GRPO, multi-step agents, tool use, long-horizon tasks, rollouts, and multi-agent workfl
turingpost.com·18d agoPlacing 5th in the GPU MODE QR Decomposition Competition: Optimization Techniques and Lessons Learned
How I placed 5th in the GPU MODE qr_v2 competition with common sense engineering, linear algebra tricks, an agent swarm, and a dream.
RL Systems Mind the Gap: Matching Trainer and Generator Throughput
RL Training Infrastructure, GRPO, PipelineRL, Async RL, Policy Staleness, RL Sandbox Infra, CPU Requirements, TCO Analysis, Thinking Machine
Terminal-Bench-RL Project Advances Terminal Agent Training with Reinforcement Learning
GRPO training code which scales to 32xH100s for long horizon terminal/coding tasks. Base agent is now the top Qwen3 agent on Stanford's Term
github.com·11mo agoUALink Offers Fresh Options for AI Networking
The UALink Consortium has published its first specification with the aim to offer an open-source alternative to NVLink and to offer support
Comments
Sign in to join the conversation.
No comments yet. Be the first.