3neutronstar / flow_RL
Reinforcement Learning Practice for Multi and Single-Agent Autonomous vehicle
☆12Updated 4 years ago
Alternatives and similar repositories for flow_RL:
Users that are interested in flow_RL are comparing it to the libraries listed below
- Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects☆34Updated last year
- applying multi-agent reinforcement learning for highway-merging autonomous vehicles☆49Updated last year
- ☆14Updated 2 years ago
- code for the accepted IEEE TITS paper: "Heuristic-based Multi-agent Deep Reinforcement Learning Approach for Coordinating Connected and A…☆17Updated 7 months ago
- Safe Multi-Agent Reinforcement Learning to Make decisions in Autonomous Driving.☆43Updated 3 months ago
- Multi-agent version of highway_env simulator☆20Updated 4 years ago
- ☆10Updated 3 years ago
- A driving simulator built specifically for reinforcement learning/imitation learning. The scenario generator is based on highway-env, and…☆34Updated last year
- Highway-Env Agent using DQN☆19Updated 2 years ago
- Communication-efficient MARL for CACC☆21Updated last year
- we combine safe reinforcement learning with MPC to enhance the safety in the on-ramp merging scenario☆26Updated 2 weeks ago
- Distributed Collaboration of Connected Autonomous Vehicles at Unsignalized Intersections using Parallel Monte Carlo Tree Search☆11Updated 2 years ago
- Implementation of Nash Q-Learning for Autonomous Vehicle Decision Making☆14Updated 2 years ago
- Applying Constrained Policy Networks on Highway Environment☆38Updated 3 years ago
- Intelligent lane-changing system for autonomous vehicles leveraging Deep Q-Network (DQN), Double DQN, and Dueling Double DQN models in CA…