Reinforcement Learning, Artificial Intelligence, Machine Learning, Data Science, Statistics.
algorithm for soft-max action preferences follows the principle of stochastic gradient ascent. After selecting action A_t and receiving the reward R_t on each step, the action preferences are updated as follows: (a) is the probability of selecting action a at time t. This approach provides a