Reinforcement Learning, Deep Learning, Machine Learning, Neural Networks, Algorithms.
of reinforcement learning involve multiple agents interacting with each other, such as in autonomous driving or game theory. Developing algorithms and techniques that can handle these complex interactions is a promising direction for future research. Sample efficiency: One of the biggest challenges