evolution strategies (ES) emerged as a scalable alternative to popular
Reinforcement Learning (RL) techniques, providing an almost perfect speedup
when distributed across hundreds of CPU cores thanks to a reduced communication
overhead. Despite providing large improvements in wall-cloc