Pinned Repositories
app_policy
hyper
An HTTP library for Rust
hyper-rustls
Integration between hyper HTTP library and rustls TLS stack
kaggle_datasets
meltingpot
A suite of test scenarios for multi-agent reinforcement learning.
obs-multi-rtmp
OBS plugin Multistream
rl
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
site
tower
async fn(Request) -> Result<Response, Error>
tower-http
HTTP specific Tower utilities.
rork-lab's Repositories
rork-lab/app_policy
rork-lab/hyper
An HTTP library for Rust
rork-lab/hyper-rustls
Integration between hyper HTTP library and rustls TLS stack
rork-lab/kaggle_datasets
rork-lab/meltingpot
A suite of test scenarios for multi-agent reinforcement learning.
rork-lab/obs-multi-rtmp
OBS plugin Multistream
rork-lab/rl
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
rork-lab/site
rork-lab/tower
async fn(Request) -> Result<Response, Error>
rork-lab/tower-http
HTTP specific Tower utilities.
rork-lab/VectorizedMultiAgentSimulator
VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.