DeepMind Lab is a 3D learning environment based on id Software's Quake III Arena via ioquake3 and other open source software. DeepMind Lab provides a suite of challenging 3D navigation and puzzle-solving tasks for learning agents. Its primary purpose is to act as a testbed for research in artificial intelligence, especially deep reinforcement learning. If you use DeepMind Lab in your research and would like to cite the DeepMind Lab environment, we suggest you cite the DeepMind Lab paper. To enable compiler optimizations, pass the flag --compilation_mode=opt, or -c opt for short, to each bazel build, bazel test and bazel run command. The flag is omitted from the examples here for brevity, but it should be used for real training and evaluation where performance matters. DeepMind Lab ships with an example random agent in python/random_agent.py which can be used as a starting point for implementing a learning agent.
Features
- DeepMind Lab is built from the ioquake3 game engine
- DeepMind Lab currently ships as source code only
- It depends on a few external software libraries
- The build rules are using a few compiler settings that are specific to GCC
- DeepMind Lab provides a suite of challenging 3D navigation and puzzle-solving tasks for learning agents
- DeepMind Lab is a 3D learning environment based on id Software's Quake III Arena