Stars
GitHub repository for paper "GeoReason: Step-Level Hallucination Detection via Hidden-State Trajectory Geometry" by Tyler Alvarez and Ali Baheri.
A python implementation of Wasserstein Barycenter Soft Actor-Critic
A python implementation of risk-Averse TD learning based on optimal transport theory
This is python code for a falsification method that combines Bayesian Optimization with aspects of CMA-ES.
A Python implementation of Multi-fidelity Bayesian optimization for falsification of learning-based control systems
The aim of this repo is to bring ideas and relevant literature relating to Safe-RL in the context of autonomous vehicles.
IJulia notebooks for AA228/CS238 Decision Making Under Uncertainty course at Stanford University
Utilized Keras deep learning framework and OpenCV to train a car to drive in a simulator.
My 10 takeaways from the 2019 Intelligent Vehicle Symposium
A collection of papers on divergence and quality diversity
Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"
🎓 Educational application of Hidden Markov Model to Autonomous Driving 🚕🚙🚗
Generic reinforcement learning codebase in TensorFlow
The implementation of LSTM in TensorFlow used for the stock prediction.
Rich literature review and discussion on the implementation of "Hierarchical Decision-Making for Autonomous Driving"
Data collector for version 0.8.4, also contains an client side agent
A Python toolkit used to train reinforcement learning algorithms against arcade games
Scenarios, tutorials and demos for Autonomous Driving
McGill CodeJam 2017 CitiBike Dataset Regression model
Code for website post on exploring CitiBike data
Project from CS 591 Data Mechanics (Using real world data to inform decisions in urban environments)