IEEE

Equivariant Reinforcement Learning Frameworks for Quadrotor Low-Level Control

Abstract: Improving sampling efficiency and generalization capability is critical for the successful data-driven control of quadrotor unmanned aerial vehicles (UAVs) that are inherently unstable.
IEEE

Generative Learning-Based Personalized Federated Learning for Metaverse Data Security: Proposing Two New Frameworks

Abstract: The vision of the metaverse encompasses the seamless integration of the real world and the virtual world. Users engage in the metaverse by uploading large amounts of heterogeneous personal ...
GitHub

Scaling Agentic Reinforcement Learning with a Multi-Turn, Multi-Task Framework

For a minimal example of how to use the environment framework, refer to examples/simple-calculator. For the environment and training data used in our paper, see AgentBench FC. For reproducing the ...