S3 decouples RAG search from generation, boosting efficiency and generalization for enterprise LLM applications with minimal data.

Abstract: The recent advancement of deep reinforcement learning (DRL) contributed to robotics by allowing automatic controller design. The automatic controller design is a crucial approach for ...

Tensorforce is an open-source deep reinforcement learning framework ... supervised deep learning, RL does not always benefit from running on a GPU, depending on environment and agent configuration. In ...

Abstract: In this paper, we present an evolutionary transfer reinforcement learning framework (eTL) for developing intelligent agents capable of adapting to the dynamic environment of multiagent ...

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 ...

Built on principles of reinforcement learning, RFT allows organizations to define custom objectives and reward functions, enabling fine-grained control over how models improve—far beyond what standard ...

Microsoft Copilot Studio is pleased to announce the public preview launch of advanced approvals, exclusively in agent flows! With advanced approvals, organizations can now design complex and robust ...

We’re building that future with openness at the center—because agents shouldn’t be islands, and intelligence should work across boundaries, just like the world it serves. We’ve introduced a new sample ...

Sandboxed code execution for AI agents, locally or on the cloud. Massively parallel, easy to extend. Powering SWE-agent and more.