Artificial Intelligence, Reinforcement Learning, Machine Learning, Neural Networks, Markov Chains.
the expected return. This gives the agent more information with regards to which path is most conducive to the highest reward. This process for γ = 1 works like this for the following environment. BELLMAN’S EQUATION This theorem essentially relates the value to function to itself through dynamic