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.
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 ...
IEEE

GCFL: A Gradient Correction-Based Federated Learning Framework for Privacy-Preserving CPSS

Abstract: Federated learning, as a distributed architecture, shows great promise for applications in cyber-physical-social systems (CPSS). To mitigate the privacy risks inherent in CPSS, the ...