  We present Megaverse, a new 3D simulation platform for reinforcement learning
and embodied AI research. The efficient design of our engine enables
physics-based simulation with high-dimensional egocentric observations at more
than 1,000,000 actions per second on a single 8-GPU node. Megaverse is up to
70x faster than DeepMind Lab in fully-shaded 3D scenes with interactive
objects. We achieve this high simulation performance by leveraging batched
simulation, thereby taking full advantage of the massive parallelism of modern
GPUs. We use Megaverse to build a new benchmark that consists of several
single-agent and multi-agent tasks covering a variety of cognitive challenges.
We evaluate model-free RL on this benchmark to provide baselines and facilitate
future research. The source code is available at https://www.megaverse.info
