Algorithmic Trading, Reinforcement Learning, Investing, Deep Learning, Technical Analysis.
which indicates to the model how well its doing. These interaction samples (state, action, reward, at time step t) are collected over time into what’s called a “rollout”, which is then used to periodically improve, or train, the weights of the model. (Distributed) Proximal Policy Optimization