Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning

[AAAI 2022] CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-based Autonomous Urban Driving

[T-ITS] Sim-to-real goal-oriented mapless autonomous navigation (DRL navigation).

A continuous environment for reinforcement learning of the task of the following the leader

[RAL 2024] Deep Reinforcement Learning-based Large-scale Robot Exploration - - Public code and model

Mapless Collision Avoidance of Turtlebot3 Mobile Robot Using DDPG and Prioritized Experience Replay

[T-RO 2023] DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles

DRL-VO navigation policy for BARN Challenge

This is the official repository for the paper "Learning Multi-Pursuit Evasion for Safe Targeted Navigation of Drones".

Curiosity-driven Exploration by Self-supervised Prediction

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…

PyTorch implementation of various reinforcement learning algorithms

PyTorch implementations of deep reinforcement learning algorithms and environments

Implements DQN with Prioritised Experience Replay

Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability

Implementation of Double Experience Reply (DER) with Pytorch

Duel_DDQN (Dueling Network Architectures + Double DQN) using Keras

A simple highway traffic simulation for self-driving car agents in occupancy grid world

MARL for Autonomous Vehicles

Implement Motion Planning for autonomous car on CARLA simulator

Code for the paper "Reinforced Curriculum Learning for Autonomous Driving in CARLA" (ICIP 2021)

Integrating Deep Reinforcement Learning with Path planning for Automated Driving