kunqian2025 / reinforcement-learning
Implementation of Single-Agent and Multi-Agent Reinforcement Learning Algorithms. MATLAB.
☆66Updated 6 years ago
Alternatives and similar repositories for reinforcement-learning:
Users that are interested in reinforcement-learning are comparing it to the libraries listed below
- A simple and short implementation of the Q-Learning Reinforcement Algorithm in Matlab☆47Updated 9 years ago
- the code implements a training algorithm for a tracking control system using dynamic programming and reinforcement learning. It uses neur…☆17Updated last year
- Implementation of Reinforcement learning using Q learning algorithm- Robot in Maze - Matlab☆28Updated 5 years ago
- 关于书《强化学习第二版》(作者Richard S. Sutton)每章节的代码实现(matlab版)☆15Updated 5 years ago
- Reinforcement Learning (RL) Course in MATLAB with exercises and solutions☆12Updated 3 years ago
- This project uses DDPG for "optimal" control of non-linear valves. Uses MATLAB and Simulink☆90Updated 4 years ago
- Hover a UAV in MATLAB using Deep Reinforcement Learning.☆14Updated last year
- This research compared three reinforcement learning (RL) algorithms (SAC, PPO, DDPG) to traditional PID control for water level control i…☆15Updated 4 months ago
- Codes reproducing paper Jongeun Choi, Songhwai Oh, Roberto Horowitz, Distributed learning and cooperative control for multi-agent systems…☆21Updated 3 years ago
- A discrete Nash equilibrium seeking algorithm for multi-agent systems☆10Updated 4 years ago
- A modular MATLAB toolkit for Dynamic programming (DP) and Approximate Dynamic Programming (ADP) for Adaptive Modeling and Optimization☆47Updated 5 years ago
- ☆45Updated 3 years ago
- DQN by Matlab and Python☆29Updated 5 years ago
- Reinforcement learning Algorithms such as SARSA, Q learning, Actor-Critic Policy Gradient and Value Function Approximation were applied t…☆111Updated 2 years ago
- 多代理(Multi agent)强化学习Qlearning算法在多目标探测问题(任务分配+功率优化)中的应用☆29Updated 5 years ago
- Adaptive dynamic programming☆107Updated last month
- ADP demo code for Reinforcement Learning and Control, Tsinghua Univ. Lecture Notes.☆41Updated 2 years ago
- Zhao-Jichao / Distributed_optimal_-formation_control_of_heterogeneous_multi-agent_systems_with_mixed-orders异构混合阶多智能体系统编队控制的分布式优化☆31Updated 3 years ago
- Comparing the performance of a DDPG Reinforcement learning model to control temperature with that of a PID and a thermostat controller.☆43Updated last year
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆50Updated 6 years ago
- 多智能体系统一致性☆33Updated 5 years ago
- Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships☆34Updated 2 years ago
- 《多智能体系统一致性协同演化控制理论与技术》-纪良浩☆15Updated 4 years ago
- Neural network-based (NN) Model Predictive Control (MPC) algorithm to control a multi-agent system (MAS) with stochastic communication to…☆87Updated 2 years ago
- We present a new comparative study of the paper from Hansson and Boyd Robust Optimal Control of Linear Discrete-Time Systems using Primal…☆13Updated 4 years ago
- Using OpenStreetMap (organized by MyGeoData) data to model building, customer, and vendor locations in San Francisco, New York City, and …☆8Updated last year
- Contains all research-related code for publications by Brent Wallace, Arizona State University☆12Updated 2 years ago
- A pytorch implementation of Constrained Reinforcement Learning Algorithm, including Constrained Soft Actor Critic (Soft Actor Critic Lagr…☆35Updated last year
- Model-free event-triggered optimal control with performance guarantees via goal representation heuristic dynamic programming☆13Updated 3 years ago
- learning the weight of each paras in DWA(Dynamic Window Approach) by using DQN(Deep Q-Learning)☆79Updated 6 years ago