170928
[e-mail] asdfwv@naver.com [Birth] 1993. 1. 22 [ML]Reinforcement Learning & game AI [PL] Tensorflow, Keras
Seoul
Pinned Repositories
-Review--Deterministic-Policy-Gradient-Algorithm
[Review and implementation code]
-Review-Asynchronous-Methods-for-Deep-Reinforcement-Learning
[Review and implementation code]
-Review-Continuous-Control-With-Deep-Reinforcement-Learning
[Review and implementation code]
-Review-Generative-Adversarial-Imitation-Learning
[Review & Code]
-Review-Learning-Multiagent-Communication-with-Backpropagation-CommNet-
[Review & Implementation]
-Review-Multi-Agent-Actor-Critic-for-Mixed-Cooperative-Competitive-Environment
[Review] Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environment
-Review-Playing-Atari-with-Deep-Reinforcement-Learning-Deep-Mind-Technologies
[Review] Playing Atari with Deep Reinforcement Learning-Deep Mind Technologies
-Review-Proximal-Policy-Optimization-Algorithms
[Review & Implementation]
ABNORMAL-EVENT-DETECTION-IN-VIDEOS-USING-GENERATIVE-ADVERSARIAL-NETS
This page review "ABNORMAL EVENT DETECTION IN VIDEOS USING GENERATIVE ADVERSARIAL NETS" [ICIP2017]
Lattice-Regression
Eric K. Garcia , Maya R.Gupta에 대한 공부 기록 및 리뷰 입니다.
170928's Repositories
170928/sill-network
170928/-Review-Lattice-Regression
리뷰 및 공부 기록
170928/reinforcement_learning_an_introduction
Summary (in Korean) and python implementation of 'Reinforcement Learning: An Introduction' written by Sutton & Barto
170928/ABNORMAL-EVENT-DETECTION-IN-VIDEOS-USING-GENERATIVE-ADVERSARIAL-NETS
This page review "ABNORMAL EVENT DETECTION IN VIDEOS USING GENERATIVE ADVERSARIAL NETS" [ICIP2017]
170928/distributed-ppo
This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).
170928/reinforcement_learning
170928/Stock-Prediction-Python
Data Mining, Data Analysis, Python, Bitcoin, Price, Prediction
170928/rllab-curriculum
170928/Bitcoin-Price-Data
170928/multiagent-particle-envs
170928/maddpg
170928/gail
170928/Reinforcement_Learning-1
강화학습에 대한 기본적인 알고리즘 구현
170928/workshops
A few exercises for use at events.
170928/MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
170928/toyCarIRL
Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinforcement Learning Abbeel & Ng, 2004)
170928/-Papers-My_Works
[Papers] my works
170928/Unity_ML_Agent
This repository is for Reinforcement Learning algorithms with Unity ML Agent
170928/RLSimulator-SBW-controller-using-reinforcement-learning-
170928/ModelRepo
reproduce some RL or Multi-Agent models
170928/PPO-Stein-Control-Variate
Proximal Policy Optimization with Stein Control Variates:
170928/does-drl-learn-to-navigate
Do deep reinforcement learning algorithms really learn to navigate?
170928/MYFOCUS_TensorFlow-Examples
TensorFlow tutorials and code examples for beginners
170928/unreal
Reinforcement learning with unsupervised auxiliary tasks
170928/nav_a3c
170928/irl-lab
An implementation of popular Inverse Reinforcement Learning algorithms for various tasks.
170928/GA3C-DeepNavigation
Implementation of DeepMind paper - "Learning to Navigate in Complex Environments"
170928/learning-to-communicate
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
170928/DDPG
Clean Python Implementation of the Deep Deterministic Policy Gradients Algorithm
170928/deeprm
Resource Management with Deep Reinforcement Learning (HotNets '16)