Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey

2 code implementations • 19 Aug 2024 • Ruiqi Zhang, Jing Hou, Florian Walter, Shangding Gu, Jiayi Guan, Florian Röhrbein, Yali Du, Panpan Cai, Guang Chen, Alois Knoll

Reinforcement Learning (RL) is a potent tool for sequential decision-making and has achieved performance surpassing human capabilities across many challenging real-world tasks.

Autonomous Driving Decision Making +6

GLC++: Source-Free Universal Domain Adaptation through Global-Local Clustering and Contrastive Affinity Learning

2 code implementations • 21 Mar 2024 • Sanqing Qu, Tianpei Zou, Florian Röhrbein, Cewu Lu, Guang Chen, DaCheng Tao, Changjun Jiang

GLC++ enhances the novel category clustering accuracy of GLC by 4. 3% in open-set scenarios on Office-Home.

Clustering Contrastive Learning +2

LEAD: Learning Decomposition for Source-free Universal Domain Adaptation

2 code implementations • CVPR 2024 • Sanqing Qu, Tianpei Zou, Lianghua He, Florian Röhrbein, Alois Knoll, Guang Chen, Changjun Jiang

Besides, LEAD is also appealing in that it is complementary to most existing methods.

Transfer Learning Universal Domain Adaptation

Task-Independent Spiking Central Pattern Generator: A Learning-Based Approach

no code implementations • 17 Mar 2020 • Elie Aljalbout, Florian Walter, Florian Röhrbein, Alois Knoll

This model is the main focus of this work, as its contribution is not limited to engineering but also applicable to neuroscience.

Scalability in Neural Control of Musculoskeletal Robots

no code implementations • 19 Jan 2016 • Christoph Richter, Sören Jentzsch, Rafael Hostettler, Jesús A. Garrido, Eduardo Ros, Alois C. Knoll, Florian Röhrbein, Patrick van der Smagt, Jörg Conradt

Anthropomimetic robots are robots that sense, behave, interact and feel like humans.