Pinned Repositories
sumo
Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.
rl-agents
Implementations of Reinforcement Learning and Planning algorithms
Gymnasium
A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
minimal-mistakes
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
rl-agents
Implementations of Reinforcement Learning and Planning algorithms
smarts-project.build
Manages building SMARTS
smarts-project.github.io
The Smarts Project
sumo
Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.
xingtian
xingtian is a componentized library for the development and verification of reinforcement learning algorithms
SMARTS
Scalable Multi-Agent RL Training School for Autonomous Driving
Gamenot's Repositories
Gamenot/smarts-project.github.io
The Smarts Project
Gamenot/Gymnasium
A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Gamenot/minimal-mistakes
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
Gamenot/rl-agents
Implementations of Reinforcement Learning and Planning algorithms
Gamenot/smarts-project.build
Manages building SMARTS
Gamenot/sumo
Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.
Gamenot/xingtian
xingtian is a componentized library for the development and verification of reinforcement learning algorithms