lakshayk12 / ANN_optimization_BTPLinks
Project based on applying hybrid meta-heuristic algorithms for optimizing classifier of Artificial neural network
☆19Updated last year
Alternatives and similar repositories for ANN_optimization_BTP
Users that are interested in ANN_optimization_BTP are comparing it to the libraries listed below
Sorting:
- 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☆30Updated 6 years ago
- Deep reinforcement learning based energy management strategy for hybrid electric vehicle☆249Updated 4 years ago
- NSGA-III: Non-dominated Sorting Genetic Algorithm, the Third Version — MATLAB Implementation☆36Updated 5 years ago
- Symbolic Modelling of Highway Traffic Networks with METANET☆11Updated 8 months ago
- A Learning-based Energy Management Framework and Benchmark for Electric Vehicles☆54Updated 2 years ago
- DQN by Matlab and Python☆34Updated 5 years ago
- Cross-type transfer for deep reinforcement learning based hybrid electric vehicle energy management☆57Updated 4 years ago
- ☆28Updated last year
- A framework for stabilizing a floating offshore wind turbine using Reinforcement Learning and a Predictive Safety Filter.☆13Updated 2 years ago
- code of paper 《Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem》☆17Updated 5 years ago
- 论文算法☆15Updated 6 years ago
- Physics-informed Dyna-style model-based deep reinforcement learning for dynamic control☆56Updated 3 years ago
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆53Updated 6 years ago
- A pytorch implementation of Constrained Reinforcement Learning Algorithm, including Constrained Soft Actor Critic (Soft Actor Critic Lagr…☆45Updated 2 years ago
- Meta-Learning-based Deep Reinforcement Learning for Multiobjective Optimization Problems☆38Updated last year
- Implementation of NSGA-II in Python☆19Updated 2 years ago
- [IV 2022] A Comparative Study of Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric Vehicles.☆101Updated 3 years ago
- TorchGRL is the source code for our paper Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed…☆103Updated 3 years ago
- reinforcement learning algorithm for multi-objective optimization problem☆18Updated 5 years ago
- Cooperative Energy Management and Eco-driving of Plug-in Hybrid Electric Vehicle via Multi-agent Reinforcement Learning☆31Updated 3 years ago
- ☆20Updated 3 years ago
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆61Updated 3 years ago
- A python implementation of NSGA-II multi-objective optimization algorithm.☆10Updated 4 years ago
- 强化学习中纳什Qlearning 实现矩阵博弈☆30Updated 6 years ago
- Develop agent-based traffic management system by model-free reinforcement learning☆51Updated 5 years ago
- Open code of my published paper: Ecological Driving Framework of Hybrid Electric Vehicle Based on Heterogeneous Multi-Agent Deep Reinforc…☆33Updated 9 months ago
- Metaheuristic(Genetic algorithm, Particle swarm optimization, Cuckoo search, Grey wolf optimizer), Reinforcement Learning with Python☆30Updated 4 years ago
- This is a repo for my Bachelor's dissertation, a topic about using Reinforcement Learning to solve EV charge Scheduling question.☆28Updated 2 years ago
- Open code of my published paper: Health-considered energy management strategy for fuel cell hybrid electric vehicle based on improved sof…☆41Updated last year
- ☆11Updated 3 years ago