We provide algorithms that reproduce stably the results of many influential reinforcement learning algorithms.
2. Large Scale
Ability to support high-performance parallelization of training with thousands of CPUs and multi-GPUs.
Algorithms provided in the repository can be directly adapted to new tasks by defining a forward network and training mechanism will be built automatically.
Build new algorithms quickly by inheriting the abstract class in the framework.