YidingYu's Stars
lexfridman/mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
yandexdataschool/Practical_RL
A course in reinforcement learning in the wild
keras-rl/keras-rl
Deep Reinforcement Learning for Keras.
jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
wookayin/gpustat
📊 A simple command-line utility for querying and monitoring GPU status
simoninithomas/Deep_reinforcement_learning_Course
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
tensorflow/agents
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
sudharsan13296/Hands-On-Reinforcement-Learning-With-Python
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
enggen/DeepMind-Advanced-Deep-Learning-and-Reinforcement-Learning
Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind
NVlabs/GA3C
Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
germain-hug/Deep-RL-Keras
Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
hongzimao/pensieve
Neural Adaptive Video Streaming with Pensieve (SIGCOMM '17)
filangelos/qtrader
Reinforcement Learning for Portfolio Management
true1023/Crazy-Python
What the f*ck Python 中文翻译
stevenpjg/ddpg-aigym
Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments
dvgodoy/deepreplay
Deep Replay - Generate visualizations as in my "Hyper-parameters in Action!" series!
StanfordSNR/pantheon
Pantheon of Congestion Control
llSourcell/Predicting_Winning_Teams
This is the code for "Predicting the Winning Team with Machine Learning" by Siraj Raval on Youtube
shkrwnd/Deep-Reinforcement-Learning-for-Dynamic-Spectrum-Access
Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication
jimkon/Deep-Reinforcement-Learning-in-Large-Discrete-Action-Spaces
Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym
kanghua309/strategy
skumar9876/Hierarchical-DQN
Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https://arxiv.org/pdf/1604.06057.pdf
camigord/DRL_papernotes
Notes and comments about Deep Reinforcement Learning papers
YidingYu/DLMA
The is a research project I am working on :)
danieltsai0/Cooperative-Multi-Agent-Reinforcement-Learning-for-Low-Level-Wireless-Communication
Spring 2017 Deep Reinforcement Learning Final Project
zaxliu/dqn4wirelesscontrol
Python Q learning implementations and application examples in wireless networks
facebookresearch/td-delta
Separating value functions across time-scales.
piotrplata/keras-ddpg
Python keras + tensorflow implementation of DDPG solving modified open gymAI pendulum-v0 environment
akshayka/ns2.35
ns2 for research
alexeysas/drl-collaboration-and-competition
Solving continuous control problem for Multi-agent environment using DDPG algorithm