Pixelatory / PSO-GPULinks
A particle swarm optimizer using the GPU (PyTorch).
☆18Updated 2 years ago
Alternatives and similar repositories for PSO-GPU
Users that are interested in PSO-GPU are comparing it to the libraries listed below
Sorting:
- New reinforcement algorithm base on DDPG☆18Updated 6 years ago
- I have developed a custom environment using OpenAI Gym in Python for simulating a 5G wireless communication channel as part of a reinforc…☆13Updated last year
- Multi-Objective Reinforcement Learning sandbox☆12Updated 3 years ago
- Reinforcement Learning -- Imitation Learning, Behavior Cloning, DAgger (Data Aggregation)☆18Updated 7 years ago
- Pointer Networks Implementation to solve Convex-Hull and TSP problems using supervised and RL training.☆13Updated last year
- Multi-objective reinforcement learning for covid-19 control☆12Updated 4 years ago
- Swarm learning algorithm☆11Updated 4 years ago
- Codebase for the paper "adaptive deep reinforcement learning approach for MIMO PID control of mobile robots"☆30Updated 5 years ago
- This source code is my thesis implementation in MATLAB which clusters Mobile Wireless Sensors using Genetic and Bacterial conjugation Alg…☆16Updated last year
- Monte Carlo tree search (MCTS) on traveling salesman problem (TSP)☆22Updated 6 years ago
- A Simulation System for Implementing and Testing Autonomous Racing Algorithms☆27Updated 2 years ago
- The Ranking Cost algorithm for multi-path routing of gridworld.(多智能体路径规划，电路规划)☆20Updated 3 years ago
- A peper list for machine learning models solving combinatorial problems, NP-hard problems and problems in graphs.☆13Updated 5 years ago
- Based on NS-3, design new GPSR routing protocols.☆13Updated 7 years ago
- A clean and easy implementation of MuZero, AlphaZero and Self-Play reinforcement learning algorithms for any game.☆16Updated 10 months ago
- Distributed deep reinforcement learning for fighting forest fires with autonomous aerial vehicles.☆15Updated 4 years ago
- An C++ Version of Q-Learning, to Train Robot Play with Flappybird!!☆44Updated 8 years ago
- ☆10Updated 4 years ago
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆23Updated 4 years ago
- Data-Driven Control☆13Updated last year
- Multi-objective reinforcement learning deals with finding policies for tasks where there are multiple distinct criteria to optimize for. …☆22Updated 6 years ago
- “A Robust Learning Membership Scaling Fuzzy C-Means Algorithm Based on New Belief Peak“. Fuzzy clustering algorithm including RL_MFCM,RL_…☆10Updated last year
- Matlab code to control underactuated systems based on a hybrid approach that combines neural networks, reinforcement learning, fuzzy logi…☆28Updated 11 years ago
- Using Reinforcement Learning method to realize load balancing control in dynamic cellular network☆11Updated 6 years ago
- [IJCAI 2022] "Dynamic Sparse Training for Deep Reinforcement Learning" by Ghada Sokar, Elena Mocanu , Decebal Constantin Mocanu, Mykola P…☆13Updated 3 years ago
- A hover system for Microsoft AirSim using reinforcement learning (Q-learning and SARSA)☆21Updated 7 years ago
- Official implementation of the algorithmic approach presented in the research paper entitled "Risk-Sensitive Policy with Distributional R…☆15Updated 2 years ago
- Simple Wireless-Sensor-Network Optimization using Genetic-Algorithm.☆14Updated 6 months ago
- Multi-Agent Systems Course 2017 - MSc Artificial Intelligence @ UvA☆18Updated 7 years ago
- path finding algorithms☆17Updated last year