yuying-long Goto Github PK

adp-portfolio-selection

Approximate Dynamic Programming for Portfolio Selection Problem

approximate-dynamic-programming

ADP demo code for Reinforcement Learning and Control, Tsinghua Univ. Lecture Notes.

carl

Github Repo for CARL: Cautious Adaptation for RL in Safety Critical Settings

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

dnn-dp

Code for Deep Neural Network Approximated Dynamic Programming

hazus

learning_to_adapt

Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning

pytorch-maml-rl

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

rl-trucks-and-drones

Using reinforcement learning to solve the travelling salesman and vehicle routing problem with drones (or robots).

scikit-opt

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

tabusearch

tspdrone-rl

A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drone

yuying-long.github.io

My homepage's source code