RL Was Broken at Every Level - With Joseph Suarez (PufferAI)

PufferAI researcher Joseph Suarez argues that implementation and simulation bottlenecks have constrained reinforcement learning as much as algorithm choice. He discusses the design of useful simulators, CPU and GPU trade-offs, faster training pipelines and open-source research tools. The conversation ranges from game environments to potential applications in scientific simulation and biological modelling. Hosted by Ravid Shwartz Ziv and Allen Roush. Watch the full conversation on the publisher’s YouTube channel.