Spatial Action Maps Augmented with Visit Frequency Maps for Exploration Tasks
Zixing Wang,Nikolaos Papanikolopoulos,Zixing Wang,Nikolaos Papanikolopoulos
Reinforcement learning has been widely applied in exploration, navigation, manipulation, and other fields. Most of the relevant techniques generate kinematic commands (e.g., move, stop, turn) for agents based on the current state information. However, recent dense action representations based research, such as spatial action maps, pointing way-points to the agent in the same domain as its observat...
