Foundations of Deep Reinforcement Learning: Theory and Practice in Python

B. Example Environments

Deep RL today enjoys a great selection of RL environments offered through a number of Python libraries. Some of these are listed below for reference.

1. Animal-AI Olympics [7] https://github.com/beyretb/AnimalAI-Olympics: an AI competition with tests inspired by animal cognition.

2. Deepdrive [115] https://github.com/deepdrive/deepdrive: end-to-end simulation for self-driving cars.

3. DeepMind Lab [12] https://github.com/deepmind/lab: a suite of challenging 3D navigation and puzzle-solving tasks.

4. DeepMind PySC2 [142] https://github.com/deepmind/pysc2: StarCraft II environment.

5. Gibson Environments [151] https://github.com/StanfordVL/GibsonEnv: real-world perception for embodied agents.

6. Holodeck [46] https://github.com/BYU-PCCL/holodeck ...