AI & ML
Proximal Policy Optimization
OpenAI Blog0 views
We’re releasing a new class of reinforcement learning algorithms, Proximal Policy Optimization (PPO), which perform comparably or better than state-of-the-art approaches while being much simpler to implement and tune. PPO has become the default reinforcement learning algorithm at OpenAI because of its ease of use and good performance.
Source:https://openai.com/index/openai-baselines-ppoRelated posts
Show HN: Live simulation of every tram/train in Melbourne
0Hacker News New
All AI-generated code should be Open Source
0Hacker News New
The single router in southern Arkansas that ground air travel to a halt
0Hacker News New
Top scorer on South Korean tax exam confesses to cheating with AI
0Hacker News New
Show HN: A local-first AI agent for the desktop, no Electron, any LLM endpoint
0Hacker News New
A Straight Line Predicts How Fast My Laptop Generates LLM Tokens
0Hacker News New