PI-ARS: Accelerating Evolution-Learned Visual-Locomotion with Predictive Information Representations
Kuang-Huei Lee,Ofir Nachum,Tingnan Zhang,Sergio Guadarrama,Jie Tan,Wenhao Yu,Kuang-Huei Lee,Ofir Nachum,Tingnan Zhang,Sergio Guadarrama,Jie Tan,Wenhao Yu
Evolution Strategy (ES) algorithms have shown promising results in training complex robotic control policies due to their massive parallelism capability, simple implementation, effective parameter-space exploration, and fast training time. However, a key limitation of ES is its scalability to large capacity models, including modern neural network architectures. In this work, we develop Predictive ...
