BUPT-ANTlab / PEPCRL-MVP
☆12Updated last year
Alternatives and similar repositories for PEPCRL-MVP:
Users that are interested in PEPCRL-MVP are comparing it to the libraries listed below
- Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects☆40Updated 2 months ago
- Communication-efficient MARL for CACC☆23Updated last year
- ☆32Updated 3 months ago
- [IEEE TAI] Safe Multi-Agent Reinforcement Learning to Make decisions in Autonomous Driving.☆54Updated 6 months ago
- A framework for path-planing and obstacle avoidance using Deep Reinforcement Learning Techniques.☆12Updated 3 years ago
- Extending PRD to MAPPO with soft and semi-hard attention mechanisms☆11Updated 2 years ago
- Reinforcement Learning Practice for Multi and Single-Agent Autonomous vehicle☆13Updated 4 years ago
- This repo has the code and suplementary materials of our 2024 RAL submission.☆13Updated 6 months ago
- multi-agent formation control environment implemented with MPE.☆14Updated 2 years ago
- Hierarchical and Stable Multiagent Reinforcement Learning for Cooperative Navigation Control☆10Updated 2 years ago
- Source code of paper "A Hierarchical Reinforcement Learning Algorithm Based on Attention Mechanism for UAV Autonomous Navigation"☆20Updated 2 years ago
- POMG algorithm for large-scale pursuit game with partial observation and no communication.☆20Updated 2 months ago
- Integrating Reinforcement Learning and Model Predictive Control for Enhancing Safety in Automated Vehicle Systems☆19Updated last year
- Multi agent scalable reinforcement learning for formation control with collision avoidance☆33Updated 5 months ago
- ☆48Updated 2 years ago
- Application of an LSTM-based policy gradient on an RL agent☆14Updated 2 years ago
- ☆16Updated last year
- ☆23Updated 2 years ago
- Dynamic Path Planning using Reinforcement Learning (Project from Advanced Deep Learning for Robotics course at Technical University of Mu…☆9Updated 2 years ago
- MBaranPeker / Pursuit-Evasion-Game-with-Deep-Reinforcement-Learning-in-an-environment-with-an-obstacleIn this study, a multi agent chase-escape problem using Deep Q learning. Actors of the problem are smart evader and smart pursuers with o…☆23Updated last year
- Deep reinforcement learning☆40Updated 3 years ago
- [TNNLS] PGDQN: A generalized and efficient preference-guided epsilon-greedy policy equipped DQN for Atari and Autonomous Driving☆12Updated last year
- Deep Reinforcement Learning for Image-Based Multi-Agent Coverage Path Planning☆14Updated last year
- Pytorch implementation of PPO-Lagrangian, compared against PPO in a continous action Cart Pole environment.☆13Updated 10 months ago
- ☆72Updated 2 years ago
- Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships☆34Updated 2 years ago
- Multi-Agent Reinforcement Learning (MARL) method to learn scalable control polices for multi-agent target tracking.☆34Updated last year
- Use DQN to boost MPC computation for dynamic obstacle avoidance.☆37Updated 7 months ago
- applying multi-agent reinforcement learning for highway-merging autonomous vehicles☆52Updated last year
- ☆10Updated 3 years ago