From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...
Abstract: This article presents a motion planning and control framework for flexible robotic manipulators, integrating deep reinforcement learning (DRL) with a nonlinear partial differential equation ...
Free educational YouTube channel delivers half a million hours of learning to children worldwide We wanted to create ...
Abstract: Inverse Reinforcement Learning (IRL) aims to reconstruct the reward function from expert demonstrations to facilitate policy learning, and has demonstrated its remarkable success in ...
An overview of our research on agentic RL. In this work, we systematically investigate three dimensions of agentic RL: data, algorithms, and reasoning modes. Our findings reveal: Real end-to-end ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results