Codebase of paper "DeFIX: Detecting and Fixing Failure Scenarios with Reinforcement Learning in Imitation Learning Based Autonomous Driving" published at ITSC 2022 📝

dl-computer-vision

Solutions for Assignments of EECS 498-007/598-005 Deep Learning for Computer Vision (Fall 2020) course from the University of Michigan 📖

İnovaTİM'in liseli öğrenciler için yaptığı Görüntü İşleme ve Yapay Zeka Eğitimi ve Akıllı Cihazlar Eğitimi için Arduino ve Python'da yazılmış ulgulamalar içermekte. Eğitim materialleri Türkiye'de okuyan yaklaşık 10000 lise öğrencisine ulaşmıştır 🌟

leaderboard

CARLA Autonomous Driving Leaderboard

multi-agent-evolutionary-rl

Implementation of Evolutionary Strategies with Multi-Agent Deep Reinforcement Learning in PettingZoo Environments 🦘

offline-rl-minigrid-env

Implementation of Offline Reinforcement Learning in Gym Mini-Grid Environment :key:

openpilot

openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for over 100 supported car makes and models.

pettingzoo-environments

Simple Training and Evaluation of Multi-Agent Environments with Deep Reinforcement Algorithms 🐨

ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

scenario-based-rl

Implementation of Deep Reinforcement Learning Methods on Carla Simulation with Trainings Based on Scenarios 💥

scenario_runner

Traffic scenario definition and execution engine

self-improving-rl

Codebase of paper "Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms" published at ICRA 2023 📝

voyage-to-mars

Designing an interplanetary trajectory to planet Mars :full_moon:

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