AcerActor-critic with experience replay
Stars: ✭ 215 (+760%)
Mutual labels: deep-reinforcement-learning
Watermark RemoverRemove watermark automatically(Just can use for fixed position watermark till now). 自动水印消除算法的实现(目前只支持固定水印位置)。
Stars: ✭ 236 (+844%)
Mutual labels: deep-reinforcement-learning
SharkStockAutomate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement …
Stars: ✭ 63 (+152%)
Mutual labels: deep-reinforcement-learning
GamA PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Stars: ✭ 227 (+808%)
Mutual labels: deep-reinforcement-learning
Pytorch DrlPyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Stars: ✭ 233 (+832%)
Mutual labels: deep-reinforcement-learning
LearningxDeep & Classical Reinforcement Learning + Machine Learning Examples in Python
Stars: ✭ 241 (+864%)
Mutual labels: deep-reinforcement-learning
TrixiManage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.
Stars: ✭ 211 (+744%)
Mutual labels: deep-reinforcement-learning
king-pongDeep Reinforcement Learning Pong Agent, King Pong, he's the best
Stars: ✭ 23 (-8%)
Mutual labels: deep-reinforcement-learning
Learning To Communicate PytorchLearning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
Stars: ✭ 236 (+844%)
Mutual labels: deep-reinforcement-learning
action-branching-agents(AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning
Stars: ✭ 91 (+264%)
Mutual labels: deep-reinforcement-learning
Applied Reinforcement LearningReinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
Stars: ✭ 229 (+816%)
Mutual labels: deep-reinforcement-learning
Machine Learning Uiuc🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign
Stars: ✭ 233 (+832%)
Mutual labels: deep-reinforcement-learning
Reinforcement LearningMinimal and Clean Reinforcement Learning Examples
Stars: ✭ 2,863 (+11352%)
Mutual labels: deep-reinforcement-learning
Deep rl traderTrading Environment(OpenAI Gym) + DDQN (Keras-RL)
Stars: ✭ 222 (+788%)
Mutual labels: deep-reinforcement-learning
AI-ProjectsAI项目(强化学习、深度学习、计算机视觉、推荐系统、自然语言处理、机器导航、医学影像处理)
Stars: ✭ 39 (+56%)
Mutual labels: deep-reinforcement-learning
DeeprlModularized Implementation of Deep RL Algorithms in PyTorch
Stars: ✭ 2,640 (+10460%)
Mutual labels: deep-reinforcement-learning
RoboleagueA car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.
Stars: ✭ 236 (+844%)
Mutual labels: deep-reinforcement-learning
DQN-using-PyTorch-and-ML-AgentsA simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment
Stars: ✭ 81 (+224%)
Mutual labels: deep-reinforcement-learning
yarllCombining deep learning and reinforcement learning.
Stars: ✭ 84 (+236%)
Mutual labels: deep-reinforcement-learning
Drl based selfdrivingcarcontrolDeep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator
Stars: ✭ 249 (+896%)
Mutual labels: deep-reinforcement-learning