A Japanese (Riichi) Mahjong AI Framework
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Updated
Jun 2, 2024 - Python
A Japanese (Riichi) Mahjong AI Framework
For imitation learning using real robot
Deep Learning, Computer Vision and Machine Learning techniques for Autonomous Car.
Autonomous driving with deep learning
deep visuomotor behavior cloning framework
Reinforcement Learning + Imitation Learning based approach to AI Driving Olympics
Developed a behavioral cloning model for autonomous vehicle navigation in the Udacity Simulator using TensorFlow.
SwapTransformer: Highway Overtaking Tactical Planner Model via Imitation Learning on OSHA Dataset
Code of our "DiffClone" Paper presented in TOTO Workshop at NeurIPS 2023
My attempt to use Machine Learning to drive a car around the track on the Udacity Self-Driving Car Simulator (ISY503, graded 82/100)
Code for NeurIPS 2023 paper Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples
Deep Reinforcement Learning and Imitation Learning with sim2sim exploration and behavior cloning
Deep RL Assignments
Official codebase for Sirius: Robot Learning on the Job
Self-Driving Car Behavioral Cloning based End-to-End learning, Computer Vision & Deep Neural Network
This project showcases the implementation of behavioral cloning for training a self-driving car model using Python, Keras, and the Udacity Self-Driving Car Simulator. By mimicking human driving behavior, the model learns to navigate autonomously in the simulated environment.
Construction of controllers for Shadow-Hand in Mujoco environment, using Deep Learning. 2 Different methods were used to create the controllers: a) Behavioral Cloning b) Deep Reinforcement Learning
Lunar Lander game from OpenAI Gym using behavioral cloning, DAgger methods, and POMDP(Partially-Observable Markov Decision Processes)
Steering angle prediction using neural networks from Udacity's Self-Driving Car Nanodegree course
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