zacrash / Inverse-RL
Research on Inverse Reinforcement Learning for self driving vehicles at UCLA
☆13Updated 6 years ago
Alternatives and similar repositories for Inverse-RL:
Users that are interested in Inverse-RL are comparing it to the libraries listed below
- Applying Constrained Policy Networks on Highway Environment☆38Updated 3 years ago
- Highway-Env Agent using DQN☆19Updated 2 years ago
- A driving simulator built specifically for reinforcement learning/imitation learning. The scenario generator is based on highway-env, and…☆34Updated last year
- ☆64Updated 2 years ago
- Implements the algorithm introduced in the paper "Advanced Planning for Autonomous Vehicles using Reinforcement Learning and Deep Inverse…☆35Updated 3 years ago
- The repo develops a general and extensible RL environment for large-scale autonomous driving tasks.☆47Updated 2 years ago
- Highway driving simulator incorporating NGSIM dataset using reinforcement learning☆55Updated 2 years ago
- Deep reinforcement learning - DDPG algorithm with self driving car in Torcs☆21Updated 2 years ago
- we combine safe reinforcement learning with MPC to enhance the safety in the on-ramp merging scenario☆26Updated 2 weeks ago
- Lane Changes in a Highway environment using Reinforcement learning in SUMO☆52Updated 6 years ago
- Safe adversarial inverse reinforcement learning/imitation learning in the paper "Safety-Aware Adversarial Inverse Reinforcement Learning …☆17Updated 2 years ago
- A Soft Actor Policy based model free off-policy network to control the steering and throttle of car while drifting at high speeds.☆9Updated last year
- Multi-agent version of highway_env simulator☆20Updated 4 years ago
- self-driving car supervised by Valeo, this project aims to develop a self-driving car model using imitation learning technique on Carla u…☆13Updated 2 years ago
- Decision Making in Dense Traffic using Deep Q-Learning☆21Updated 4 years ago
- Applying Imitation Learning and Reinforcement Learning in Pedestrain Interaction for Autonomous Vehicles && Simulated with CARLA☆13Updated 2 years ago
- [ICRA 2022] Learning to Navigate Intersections with Unsupervised Driver Trait Inference☆25Updated this week
- Implementation of Nash Q-Learning for Autonomous Vehicle Decision Making☆14Updated 2 years ago
- A Deep Q-Network trained to safely guide the autonomous car to cross a 4-way intersection in a complex traffic environment.☆9Updated 4 years ago
- make lane change decisions in highway environment based on DRL☆25Updated 5 years ago
- Safe Multi-Agent Reinforcement Learning to Make decisions in Autonomous Driving.☆43Updated 3 months ago
- In this study model predictive control is applied to a vehicle overtaking slower moving vehicles in a one way, two lane road. A risk map …☆13Updated 2 years ago
- Proposed to leverage human driving data to learn a social preference model of human driving using inverse reinforcement learning and then…☆8Updated last year
- The official code for paper "Human as AI Mentor: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driv…☆29Updated 10 months ago
- applying multi-agent reinforcement learning for highway-merging autonomous vehicles☆49Updated last year
- ☆24Updated 2 years ago
- Implement reinforcement learning algorithms to realize highway decision making of autonomous vehicles☆11Updated last year
- path planning and speed planning are implemented in this project☆16Updated 2 years ago
- (TNNLS) Prioritized Experience-Based Reinforcement Learning with Human Guidance for Autonomous Driving☆57Updated last year
- An autonomous driving agent with a Safety model and the ATtention mechanism in a multi-task framework.☆13Updated 2 years ago