Training standard AI models against a diverse pool of opponents — rather than building complex hardcoded coordination rules — is enough to produce cooperative multi-agent systems that adapt to each ...

However, a new study finds that one of the most critical challenges facing these systems is not performance or accuracy alone ...

Reinforcement Learning (RL) has rapidly emerged as a powerful approach for enabling robots to acquire adaptive, data-driven behaviors in real-world ...

OpenClaw RL introduces an asynchronous reinforcement learning framework that trains agents from live conversations, tool ...

Biologists' inclusive fitness theory, where individuals cooperate with gene-sharers for indirect survival benefits, is now ...

The overall relationship between the attacker and the ego system. The black solid arrows indicate the direction of data flow, the red solid ones indicate the direction of gradient flow and the red ...

In June 2021, scientists at the AI lab DeepMind made a controversial claim. The researchers suggested that we could reach artificial general intelligence (AGI) using one single approach: reinforcement ...