SiliconANGLE

Google’s new SEED RL framework reduces AI model training costs by 80%

Researchers at Google have open-sourced a new framework that can scale up artificial intelligence model training across thousands of machines. It’s a promising development because it should enable AI ...

How Google’s 'internal RL' could unlock long-horizon AI agents

Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025)

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
Geeky Gadgets

Forget Bigger Models : This AI Breakthrough from Sakana AI Thinks Smarter

What if the key to unlocking the next era of artificial intelligence wasn’t building bigger, more powerful models, but teaching smaller ones to think smarter? Sakana AI’s new “Reinforcement Learned ...
Analytics India Magazine

Complex Reinforcement Learning Tasks Can Cost Up to $20,000 Each: EpochAI Report

Among those interviewed, one RL environment founder said, “I’ve seen $200 to $2,000 mostly. $20k per task would be rare but ...
EurekAlert!

Offline pre-trained multi-agent decision transformer

Multi-agent reinforcement learning (MARL) algorithms play an essential role in solving complex decision-making tasks by learning from the interaction data between computerized agents and (simulated) ...