An Easy-to-use, Scalable and High-performance RLHF Framework based on Ray (PPO & GRPO & REINFORCE++ & vLLM & RFT & Dynamic Sampling & Async Agent RL) ...

Clean, documented implementations of PPO-based algorithms for cooperative multi-agent reinforcement learning, focusing on SMAC environments. Features MLP and RNN-based MAPPO with various normalization ...

Research team introduced clustered reinforcement learning (CRL), a novel RL framework for efficient exploration in large state spaces or sparse ...

For professionals like the Lead AI Engineer or Senior AI Engineer, the Mistral Agents API represents a powerful addition to ...

Discover how LangChain Sandbox ensures safe Python code execution for AI developers, protecting systems from unverified code ...

Companies should start planning for the next stage of artificial intelligence: the orchestration of multiple agents across their businesses. Most companies are still figuring out how to deploy ...

The agent also can interpret intent across a wide range of phrasing styles and continuously improves its accuracy through machine learning. The result is faster time-to-task, better program ...

Kuala Lumpur, 8 May 2025 – New data released from Microsoft’s 2025 Work Trend Index reveals how the rise of AI-driven intelligent agents is redefining the traditional organizational chart and ...

Manchester United fans finally have a reason to smile. Ruben Amorim's men are through to the Europa League final after staving off a comeback from Athletic Bilbao in Thursday's semi-final second ...