marco-yue Goto Github PK

2021-repositioning

Markov Decision process; Optimization

a3c

PyTorch implementation of "Asynchronous advantage actor-critic"

atd-rnn

biography

deep-reinforcement-learning-with-pytorch

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

deepreinforcementlearning_pytorch

Pytorch realization of multiple Deep Reinforcement Learning alogrithms(DQN,DDPG,TD3,PPO,A3C...) with openai gym

deterministic-gail-pytorch

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

driver_behaviors

duoploy-ridesourcing-competition

ginkgo-rl

Reinforcement learning for clustering in Ginkgo

graphrlnx

an openAI gym environment for DAGs, with a NetworkX backend

job_shop_scheduling_problem_with_reinforcement_learning

This is the implemention of JSSP with RL. The framework used for RL is actor critic and the dataset comes from Tianchi competition.

kdd2021-dispatching

kdd_cup2020

KDD_CUP2020

l2d

Official implementation of paper "Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning"

menu-assortment

minimax-seven-go

Python implementation of a minimax AI agent for a game of Go with board dimension of 7x7. The minimax agent has some Go-specific heuristics and can be played with a random agent.

multi-hop

multiagent-particle-envs

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

public_dataset_sources

An offshoot of the Awesome-Public-Datasets repo I'm cultivating

python-binance

Binance Exchange API python implementation for automated trading

pytorch-a3c

Simple A3C implementation with pytorch + multiprocessing

pytorch-a3c-mujoco

Implement A3C for Mujoco gym envs

pytorch-ddpg

Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch

reinforcement-learning

soft-actor-critic-and-extensions

PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.

t-its2021-repositioning

Reinforcement Learning; Multi-agent MDP, Taxi Repositioning.

thompson

Thompson Sampling Tutorial

trajectory_mining

tre2023-joint-routing-and-pricing