Deep Reinforcement Learning for Robot Navigation: Concepts, Current Trends, Challenges, and Future Directions
Nohaidda Sariff, Yahya Muhammad Adam, Intan Izafina Idrus, Zool Hilmi Ismail et autres
Deep reinforcement learning (DRL) has emerged as a prominent framework in the field of autonomous robot navigation, enabling agents to acquire complex decision-making capabilities and learn optimal policies through continuous interaction with their environment. This chapter provides a comprehensive review of deep …
my (code pays fourni par la source)