Turbo's starred repositories

End-to-end-Autonomous-Driving

All you need for End-to-end Autonomous Driving

License:MITStargazers:1622Issues:0Issues:0

PDMORL-Preference-Driven-Multi-Objective-Reinforcement-Learning-Algorithm

A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preference space in a given domain.

Language:PythonLicense:MITStargazers:19Issues:0Issues:0
Language:PythonLicense:NOASSERTIONStargazers:4Issues:0Issues:0

tutorial_gazebo

This is a demo of Gazebo for all the students from MA4890 Autonomous Driving, Nanyang Technological University (NTU)

Language:CMakeStargazers:2Issues:0Issues:0

statannotations

add statistical significance annotations on seaborn plots. Further development of statannot, with bugfixes, new features, and a different API.

Language:PythonLicense:NOASSERTIONStargazers:613Issues:0Issues:0

safe-rlhf

Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback

Language:PythonLicense:Apache-2.0Stargazers:1214Issues:0Issues:0

driver-dojo

A benchmark towards generalizable reinforcement learning for autonomous driving.

Language:PythonLicense:NOASSERTIONStargazers:62Issues:0Issues:0

Safe-Policy-Optimization

NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms

Language:PythonLicense:Apache-2.0Stargazers:302Issues:0Issues:0

Safe-Reinforcement-Learning-Baselines

The repository is for safe reinforcement learning baselines.

Language:Jupyter NotebookStargazers:423Issues:0Issues:0