Flow: a deep reinforcement learning framework for mixed autonomy traffic
Flow is a traffic control benchmarking framework. It provides a suite of traffic control scenarios (benchmarks), tools for designing custom traffic scenarios, and integration with deep reinforcement learning and traffic microsimulation libraries.
Flow is developed at the University of California, Berkeley. More details on or website.