nkrgit / Fleet-Scheduling-using-MADDPG-Multi-Agent-RL
Developed a Multi-Agent DDPG to solve Vehicle Scheduling problem.
☆11Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Fleet-Scheduling-using-MADDPG-Multi-Agent-RL
- A pytorch implementation of Constrained Reinforcement Learning Algorithm, including Constrained Soft Actor Critic (Soft Actor Critic Lagr…☆23Updated last year
- Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships☆28Updated 2 years ago
- The code of paper "Learning Heterogeneous Strategies via Graph-based Multi-agent Reinforcement Learning in Mixed Cooperative-Competitive …☆13Updated 3 years ago
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆49Updated 5 years ago
- Accepted by AROB 2021. A car-agent navigates in complex traffic conditions by Mixed_Input_PPO_CNN_LSTM model.☆11Updated 3 years ago
- Codes for paper of 'Solving job scheduling problems in a resource preemption environment with multi-agent reinforcement learning'☆35Updated last year
- Source code of paper "A Hierarchical Reinforcement Learning Algorithm Based on Attention Mechanism for UAV Autonomous Navigation"☆10Updated 2 years ago
- my code for paper Parameterized-DQN☆21Updated 3 years ago
- 无人机动态覆盖控制;1. 实现了一个无人机点覆盖环境;2. 给出了无人机连通保持规则;3. 给出了基于MARL的控制算法☆40Updated 2 months ago
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆50Updated last year
- code of paper 《Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem》☆15Updated 3 years ago
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆31Updated 2 years ago
- Reinforcement Learning Practice for Multi and Single-Agent Autonomous vehicle☆12Updated 3 years ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆37Updated 2 years ago
- Code for implementing/applying ODM*, PPO, MAAC, IC3Net and PRIMAL (PPO version) on a Multi-Agent gridworld environment.☆29Updated 3 years ago
- Communication-efficient MARL for CACC☆17Updated last year
- This is a repo for my Bachelor's dissertation, a topic about using Reinforcement Learning to solve EV charge Scheduling question.☆16Updated last year
- The light codes for the paper published in JMS named 'Solving task scheduling problems in cloud manufacturing via attention mechanism and…☆14Updated last year
- 基于生物启发式算法的多智能体强化学习算法☆13Updated 3 years ago
- Deep Reinforcement Learning for UAV Routing in The Presence of Multiple Charging Stations☆22Updated last year
- 多智能体强化学习VDN、QMIX、QTRAN、QPLEX复现☆26Updated last year
- Open code of my published paper: Ecological Driving Framework of Hybrid Electric Vehicle Based on Heterogeneous Multi-Agent Deep Reinforc…☆21Updated last month
- Distributed Collaboration of Connected Autonomous Vehicles at Unsignalized Intersections using Parallel Monte Carlo Tree Search☆11Updated 2 years ago
- DQN by Matlab and Python☆25Updated 4 years ago
- TorchGRL is the source code for our paper Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed…☆80Updated 2 years ago
- Some multiagent deep reinforcement learning algorithms and its PyTorch implementation.☆11Updated 4 years ago
- The Python implementation of the proposed framework in the paper Evolutionary Multi-Objective Deep Reinforcement Learning for Autonomous …☆16Updated last year
- Jax and Torch Multi-Agent SAC on PettingZoo API☆61Updated last year
- Game Theory Course Project☆8Updated 5 years ago