gustavomoers / E2E-CARLA-ReinforcementLearning-PPOLinks
An end-to-end (E2E) reinforcement learning model for autonomous vehicle collision avoidance in the CARLA simulator, using a recurrent PPO algorithm for dynamic control. The model processes RGB camera inputs to make real-time acceleration and steering decisions.
☆32Updated last year
Alternatives and similar repositories for E2E-CARLA-ReinforcementLearning-PPO
Users that are interested in E2E-CARLA-ReinforcementLearning-PPO are comparing it to the libraries listed below
Sorting:
- Autonomous driving agent in Carla simulator leveraging IL and RL techniques.☆17Updated 5 months ago
- 🚗 This repository offers a ready-to-use training and evaluation environment for conducting various experiments using Deep Reinforcement …☆101Updated 6 months ago
- Applying RL methods for autonomous driving in Carla simulator.☆32Updated 2 years ago
- A hybrid collision avoidance system combining Deep Reinforcement Learning with Model Predictive Control, designed for autonomous vehicles…☆38Updated last year
- A simple gym environment wrapping Carla, a simulator for autonomous driving research. The environment is designed for developing and comp…☆39Updated 3 years ago
- A driving simulator built specifically for reinforcement learning/imitation learning. The scenario generator is based on highway-env, and…☆37Updated 2 years ago
- Autonomous Driving using Residual Sensor Fusion and Deep Reinforcement Learning (ICROM, 2023)☆17Updated last year
- reinforcement learning based agents for self-driving in CARLA☆70Updated 4 years ago
- (TNNLS) Prioritized Experience-Based Reinforcement Learning with Human Guidance for Autonomous Driving☆61Updated 2 years ago
- Intelligent lane-changing system for autonomous vehicles leveraging Deep Q-Network (DQN), Double DQN, and Dueling Double DQN models in CA…☆59Updated last year
- [T-IV] Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving☆86Updated 11 months ago
- ☆14Updated 4 years ago
- ☆31Updated last year
- Implementation of Reinforcement Learning Agent using Deep Deterministic Policy Gradient Algorithm for Parking Vehicle in Carla simulator☆22Updated 3 years ago
- ☆36Updated 3 years ago
- An implementation of an Autonomous Vehicle Agent in CARLA simulator, using TF-Agents☆29Updated last year
- Reinforcment Learning accelerated Motion Planning Algorithm based on Frenetix and Frenetix_Motion_Planner☆64Updated last year
- Implementation of FSM based behavior planner and also conformal lattice planner to generate trajectory set for getting feasible motion pl…☆33Updated 4 years ago
- [T-ITS'24] A safety-aware human-in-the-loop Reinforcment Learning (SafeHiL-RL) approach for end-to-end autonomous driving.☆38Updated 8 months ago
- This file contains code used for a full end-to-end framework for Autonomous Vehicle's lane change using Hierarchical Reinforcement Learni…☆123Updated 3 years ago
- This repository contains my implementation of Deep Reinforcement Learning using Deep Neural Networks for autonomous vehicle's control and…☆21Updated 3 years ago
- The official code for paper "Trustworthy Human-AI Collaboration: Reinforcement Learning with Human Feedback and Physics Knowledge for Saf…☆26Updated 8 months ago
- [TNNLS] Imitative Expert Prior-Guided Reinforcement Learning for Autonomous Driving☆100Updated last year
- Proposed to leverage human driving data to learn a social preference model of human driving using inverse reinforcement learning and then…☆8Updated 2 years ago
- path planning and speed planning are implemented in this project☆19Updated 2 years ago
- Code for the paper "Reinforced Curriculum Learning for Autonomous Driving in CARLA" (ICIP 2021)☆127Updated 2 years ago
- ☆16Updated 2 years ago
- ☆25Updated 2 years ago
- ☆48Updated 3 years ago
- Autonomous driving episode generation for the Carla simulator in a gym environment. This framework makes it easy to create driving scenar…☆35Updated 7 months ago