doandongnguyen / FQL-Fuzzy-Q-Learning
Fuzzy Q-Learning Algorithm
☆19Updated last year
Alternatives and similar repositories for FQL-Fuzzy-Q-Learning
Users that are interested in FQL-Fuzzy-Q-Learning are comparing it to the libraries listed below
Sorting:
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆46Updated 3 years ago
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆50Updated 6 years ago
- A pytorch implementation of Constrained Reinforcement Learning Algorithm, including Constrained Soft Actor Critic (Soft Actor Critic Lagr…☆37Updated last year
- DQN by Matlab and Python☆30Updated 5 years ago
- Deep Q Network for Multi-agent RL☆15Updated 4 years ago
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆47Updated 2 years ago
- A clean and robust Pytorch implementation of SAC on discrete action space☆36Updated 6 months ago
- This repository contains the Python implementation of our submitted paper titled "Deep Reinforcement Learning for Joint Trajectory and Co…☆12Updated 10 months ago
- A simple and short implementation of the Q-Learning Reinforcement Algorithm in Matlab☆47Updated 10 years ago
- my code for paper Parameterized-DQN☆22Updated 4 years ago
- MATLAB implementation of DQN for a navigation environment☆12Updated 4 years ago
- a clean and robust Pytorch implementation of SAC on continuous action space☆75Updated last month
- ☆27Updated 4 years ago
- Multi-Agent Deep Recurrent Q-Learning with Bayesian epsilon-greedy on AirSim simulator☆11Updated 3 years ago
- qmix☆22Updated 4 years ago
- RL Dresden Algorithm Suite☆30Updated 9 months ago
- The code of paper "Learning Heterogeneous Strategies via Graph-based Multi-agent Reinforcement Learning in Mixed Cooperative-Competitive …☆14Updated 3 years ago
- Codes for paper of 'Solving job scheduling problems in a resource preemption environment with multi-agent reinforcement learning'☆42Updated last year
- Some multiagent deep reinforcement learning algorithms and its PyTorch implementation.☆12Updated 5 years ago
- Python implementation of DDQN multi-UAV data harvesting☆183Updated 3 years ago
- Multi-objective reinforcement learning deals with finding policies for tasks where there are multiple distinct criteria to optimize for. …☆22Updated 6 years ago
- DDPG in Pytorch☆45Updated 3 years ago
- ☆22Updated last year
- 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☆48Updated 8 months ago
- Hybrid action space reinforcement learning algorithms.☆12Updated 4 years ago
- Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships☆36Updated 2 years ago
- The source code is the entry for 2022 EUROCONTROL Air Transport Innovation Network Innovation Masterclass. The reinforcement learning mod…☆15Updated 3 years ago
- Implementation of the Discrete Soft Actor-Critic algorithm with RNN policy in PyTorch☆26Updated 2 years ago
- Fully Cooperative Multi-Agent Deep Reinforcement Learning☆26Updated 5 years ago
- Multi-agent reinforcement learning programs based on Game theory☆39Updated 2 years ago