Highlights
- Pro
Lists (2)
Sort Name ascending (A-Z)
Stars
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
🍄Reinforcement Learning: Super Mario Bros with dueling dqn🍄
Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa
A comprehensive guide to understanding the time and space complexities of common algorithms and data structures. This repository provides a concise summary of the key concepts in algorithm analysis…
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
Here I will post every RL model I am implementing in Python
Implementation of Deep Q-learning to solve random mazes.
Various ways to learn a computer to escape from a maze. From random walk to a simple neural network.
bjkomer / gym-maze
Forked from zuoxingdong/mazelabA customizable gym environment for maze/gridworld
A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.
tomryan01 / AEMCARL_4M25
Forked from SJWang2015/AEMCARLReinforcement Learning Based Collision Avoidance with Adaptive Environment Modeling for Crowded Scenes
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Reinforcement Learning Based Collision Avoidance with Adaptive Environment Modeling for Crowded Scenes
[ICRA 2023] Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph
Research project of comparing traditional crowdsourcing approaches to a state-of-the-art end-to-end crowdsourcing approach (LTNet) on sentiment analysis
Code for the paper "Language Models are Unsupervised Multitask Learners"
Negative Update Intervals in Multi-Agent Deep Reinforcement Learning
Book about interpretable machine learning
Special topics class on unconventional AI
Webots visual tracking example with OpenCV
All Algorithms implemented in Python
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C for educational purposes.
💩🚀 Windows 95 in Electron. Runs on macOS, Linux, and Windows.