Deep Reinforcement Learning Frameworks for Versatile Bipedal Locomotion

Deep reinforcement learning (DRL) has driven significant progress in bipedal locomotion, enabling robots to navigate complex environments and perform diverse tasks. However, developing a comprehensive and unified framework capable of adeptly handling a wide range of locomotion challenges remains an ongoing challenge.