IEEE

Tensor-Based Efficient Federated Reinforcement Learning for Cyber-Physical-Social Intelligence

Abstract: Reinforcement Learning (RL) serves as a fundamental learning paradigm in the field of artificial intelligence, enabling decision-making policies through interactions with environments.
IEEE

Reinforcement-Learning-Based Finite Time Fault Tolerant Control for a Manipulator With Actuator Faults

Abstract: This study introduces a novel finite time fault tolerant controller integrating nonsingular terminal sliding mode (NTSM) and reinforcement learning (RL) strategies for manipulator systems ...
GeekWire

CoreWeave to acquire OpenPipe, a Seattle-area startup that uses reinforcement learning to help companies build AI agents

GeekWire chronicles the Pacific Northwest startup scene. Sign up for our weekly startup newsletter, and check out the GeekWire funding tracker and VC directory. by Taylor Soper on Sep 4, 2025 at 8:00 ...
Morningstar

CoreWeave to Acquire OpenPipe, Leader in Reinforcement Learning

CoreWeave, Inc. (NASDAQ: CRWV), the AI Hyperscaler™, today announced a definitive agreement to acquire OpenPipe Inc, a leading platform for training AI agents with reinforcement learning (RL).
Frontiers

Imitation-relaxation reinforcement learning for sparse badminton strikes via dynamic trajectory generation

Robotic racket sports provide exceptional benchmarks for evaluating dynamic motion control capabilities in robots. Due to the highly non-linear dynamics of the shuttlecock, the stringent demands on ...
GitHub

Reinforcement Learning in Controlling Quadrotor UAV Flight Actions

This repository is divided into two main sections. The first section, "multirotor," enables users to operate a simulated drone environment using keyboard controls. It integrates YOLOv7 with TensorRT ...
GitHub

Reinforcement Learning Tuning for VideoLLMs: Reward Design and Data Efficiency

Understanding real-world videos with complex semantics and long temporal dependencies remains a fundamental challenge in computer vision. Recent progress in multimodal large language models (MLLMs) ...