Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch
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Updated
Jan 24, 2023 - Python
Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch
Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
An OpenAI gym wrapper for CARLA simulator
Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:
(CVPR 2022) A minimalist, mapless, end-to-end self-driving stack for joint perception, prediction, planning and control.
Official github page of UCF SST CitySim Dataset
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
converter for OpenStreetMaps to OpenDrive roads - for use with Carla or other things
A research framework for autonomous driving
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning
Blender add-on for creating OpenDRIVE and OpenSCENARIO based automotive driving scenarios including 3D models
Reinforcement Learning Agents Trained in the CARLA Simulator
(ICCV 2021, Oral) RL and distillation in CARLA using a factorized world model
Predict Vehicle collision moments before it happens in Carla!. CNN and LSTM hybrid architecture is used to understand a series of images.
Generating training data from the Carla driving simulator in the KITTI dataset format
[CoRL'22] PlanT: Explainable Planning Transformers via Object-Level Representations
Module for detecting traffic lights in the CARLA autonomous driving simulator. Based on the YOLO v2 deep learning object detection model and implemented in keras, using the tensorflow backend.
The Combined Anomalous Object Segmentation (CAOS) Benchmark
[CVPR 2023] Pytorch implementation of ThinkTwice, a SOTA Decoder for End-to-end Autonomous Driving under BEV.
ROAR Group's newest python interface to control things in sim and real, supports remote training and gynasium-compatible
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