Salesforce Open-Sources WarpDrive Deep RL Framework

Reinforcement learning operates in a delayed-return environment and can be slow as it has to learn through repeated and continuous interaction with a simulation of the environment. As a result, using RL in a complex environment with multiple agents remains a bottleneck. The problem necessitates the deployment of deep reinforcement learning - a combination of artificial neural networks and RL framework.  Training a large number of agents asks for repeatedly training agent models and running multi-agent simulations. Conventional multi-agent deep reinforcement learning (MADRL) combines CPU simulators with GPU deep learning models, which is again a time-consuming process. Coming to its rescue, customer relationship management company, Salesforce, has open-sourced WarpDrive, a deep rein