praveen-palanisamy / macad-agentsLinks
Agents code for Multi-Agent Connected Autonomous Driving (MACAD) described in the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:
☆25Updated 4 years ago
Alternatives and similar repositories for macad-agents
Users that are interested in macad-agents are comparing it to the libraries listed below
Sorting:
- [CoRL 2021] Official implementation of paper "Safe Driving via Expert Guided Policy Optimization".☆48Updated last year
- Simulator for the INTERACTION dataset☆32Updated 2 years ago
- Imitation Learning with the INTERACTION Dataset☆33Updated last year
- [ICRA 2022] Learning to Navigate Intersections with Unsupervised Driver Trait Inference☆25Updated 7 months ago
- [TPAMI, 2023] Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving☆46Updated 8 months ago
- [CoRL'20] Learning a Decision Module by Imitating Driver’s Control Behaviors☆30Updated 3 years ago
- Social Attention for Autonomous Decision-Making in Dense Traffic☆23Updated 3 years ago
- Generative adversarial imitation learning on NGSIM I-80 Dataset.☆15Updated 2 years ago
- This repository has code for the paper "Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algor…☆28Updated 2 years ago
- ☆17Updated 2 years ago
- A safe and efficient autonomous driving algorithm. Winner of the 2019 DriveML Huawei Autonomous Vehicles Challenge. Built using RLLib and…☆18Updated 5 years ago
- A benchmark towards generalizable reinforcement learning for autonomous driving.☆80Updated last year
- Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.☆20Updated 3 years ago
- ☆10Updated 3 years ago
- Code and figures for bottlenecks paper☆24Updated 2 years ago
- This is the code base for our paper "B-GAP: Behavior-Rich Simulation and Navigation for Autonomous Driving", which was published at RA-L …☆41Updated last year
- The aim of this repo is to bring ideas and relevant literature relating to Safe-RL in the context of autonomous vehicles.☆48Updated 7 years ago
- Official implementation of "Deep Reinforcement Learning for Autonomous Driving using High-Level Heterogeneous Graph Representations"☆29Updated 2 years ago
- We provide an open source software package for AV based simulation and testing running a docker container☆30Updated 3 years ago
- A simple highway traffic simulation for self-driving car agents in occupancy grid world☆15Updated 6 years ago
- Apply safe RL methods from safety-starter-agents in highway-env☆12Updated 4 years ago
- Literature and code for inverse reinforcement leanring research☆29Updated 5 years ago
- Training and evaluation scripts for applying formal methods and reinforcement learning to autonomous driving problems.☆27Updated 5 years ago
- Heterogeneous Multi-agent Version of Highway-env☆18Updated 2 years ago
- Benchmark result of different RL algorithms on MetaDrive environments, including Multi-agent RL (IPPO, centralized critics, CoPO).☆15Updated 2 years ago
- Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning☆56Updated 3 years ago
- ☆75Updated last year
- Carla Multi Agent Deep Reinforcement Learning☆22Updated 4 years ago
- Integration of RLLib and CARLA☆76Updated 2 years ago
- TorchDriveEnv is a lightweight 2D driving reinforcement learning environment, supported by a solid simulator and smart non-playable chara…☆25Updated 4 months ago