Algorithmic Trading, Reinforcement Learning, Investing, Deep Learning, Technical Analysis.
multiple parallel processes. After each process collects its own rollout, the rollouts get thrown together and their samples mixed up. The samples are then divvied up evenly across any number of processes for calculating gradients in parallel (generally equal to the number of GPUs available). This