TMCnet

AgiBot Achieves First Real-World Deployment of Reinforcement Learning in Industrial Robotics

SHANGHAI, Nov. 3, 2025 /PRNewswire/ -- AgiBot, a robotics company specializing in embodied intelligence, announced a key milestone with the successful deployment of its Real-World Reinforcement ...
Unite.AI

How RL-as-a-Service is Unleashing a New Wave of Autonomy

Reinforcement learning has long been one of artificial intelligence's most promising yet an under explored fields. This is the technology behind the most incredible AI achievements, from algorithms ...
IEEE

Analog Circuit Design Automation via Sequential RL Agents and Gm/ID Methodology

Abstract: This paper studies the problem of designing analog circuits to achieve target specifications, which can be formulated as a multi-objective combinatorial ...
acm.org

Rediscovering Reinforcement Learning

Reinforcement learning (RL) is machine learning (ML) in which the learning system adjusts its behavior to maximize the amount of reward and minimize the amount of punishment it receives over time ...
IEEE

Analog Circuit Design Using Symbolic Math Toolboxes: Demonstrative Examples

Abstract: In this article, a synthesis methodology for analog circuit design is presented. This methodology utilizes symbolic math tools to systematically and exhaustively search for candidate analog ...