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/-Review-Multi-Agent-Actor-Critic-for-Mixed-Cooperative-Competitive-Environment
[Review] Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environment
170928/-Review-Generative-Adversarial-Imitation-Learning
[Review & Code]
170928/-Review-High-Dimensional-Continuous-Control-Using-Generalized-Advantage_Estimation
[Review]
170928/-Review-Trust-Region-Policy-Optimization
[OpenAI baseline Code Review Page]
170928/DDPG-in-Continuous-Action-Domain
[Implementation]
170928/-Review-Automatic-Goal-Generation-for-Reinforcement-Learning-Agents
[Review]
170928/-Review-Connecting-Generative-Adversarial-Networks-and-Actor-Critic-Methods
[Review]
170928/-Review-Deep-Reinforcement-Learning-from-Self-Play-in-Imperfect-Information-Games
[Review and Implementation]
170928/-Review-Dueling-Deep-Q-Network
[Review & Implementation]
170928/-Review-Learning-Joint-Reward-Policy-Options-using-Generative-Adversarial-Inverse-Reinforcement-L
[Review & Code]
170928/-Review-Memory-based-control-with-recurrent-neural-networks
[Review & Implementation]
170928/-Review-Natural-Policy-Gradient
[Review]
170928/ARS
An implementation of the Augmented Random Search algorithm
170928/CrowdNav
Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning
170928/deep-reinforcement-learning-family
for learning and researching on DRL
170928/Distributed-Proximal-Policy-Optimization
[Code]
170928/impala
Implement IMPALA architecture from Distributed Deep-RL Paper.
170928/MAMEToolkit
A Python toolkit used to train reinforcement learning algorithms against arcade games
170928/marLo
Multi Agent Reinforcement Learning using MalmÖ
170928/Mathematics-for-Machine-Learning-List
[Site & Reference List]
170928/ml-agents
Unity Machine Learning Agents Toolkit
170928/Multi-Reinforcement-Learning-Study-List
[Reinforcement study & Reference List]
170928/PyTorch-RL
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
170928/reinforcement-learning-kr
[파이썬과 케라스로 배우는 강화학습] 예제
170928/rl-examples
Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow
170928/stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
170928/tensorforce
TensorForce: A TensorFlow library for applied reinforcement learning
170928/Tidy-Reinforcement-learning
Tensorflow implementation of reinforcement learning (PG, A2C, DQN, DDPG, PPO, HER, SAC).
170928/trfl
TensorFlow Reinforcement Learning
170928/trpo
Trust Region Policy Optimization with TensorFlow and OpenAI Gym