Efficient Algorithm for Reinforcement Learning with Partial Variation

Most applications of reinforcement learning are based on off-line simulations with models because they needs long time to learn in real environment. But, the models have some errors or variations from the real environment. Hense, the learning results must be modified by on-line learning in real envi... View More