Robotic Navigation with Human Brain Signals and Deep Reinforcement Learning

Navigation under a grid world has been a classical and historical theme in reinforcement learning, which is viewed as a Markov decision process (MDP) in general. The literature to date has proven that the navigation task can be addressed that an agent achieves the target with a high success rate and avoids collision with obstacles. But essentially, they met with success in a specific environment w...