Abstract: This paper presents a data-driven iterative learning control (ILC) framework to tackle the critical challenge of achieving dynamic symmetry and trajectory ...

Abstract: Offline reinforcement learning (RL) learns policies from fixed-size datasets without interacting with the environment, while multi-agent reinforcement learning (MARL) faces challenges from ...

At  Ignite in November, we introduced Frontier Transformation — a holistic reimagining of business aligning AI with human ambition to help organizations achieve their highest aspirations and growth ...

This repository contains the official JAX implementation for the NeurIPS 2025 paper: A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning. Our work introduces a principle for ...

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Gas Town is a workspace manager that lets you coordinate multiple Claude Code agents working on different tasks. Instead of losing context when agents restart, Gas Town persists work state in ...