Hanfei Yu

Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing

Deep reinforcement learning (DRL) has gained immense success in many applications, including gaming AI, robotics, and system scheduling. Distributed algorithms and architectures have been vastly proposed (e.g., actor-learner architecture) to accelerate DRL training with large-scale server-based clus…