Pytorch DrlPyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Stars: ✭ 233 (+153.26%)
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 (+129.35%)
Practical-DRLThis is a practical resource that makes it easier to learn about and apply Practical Deep Reinforcement Learning (DRL) https://ibrahimsobh.github.io/Practical-DRL/
Stars: ✭ 66 (-28.26%)
LearningxDeep & Classical Reinforcement Learning + Machine Learning Examples in Python
Stars: ✭ 241 (+161.96%)
GamA PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Stars: ✭ 227 (+146.74%)
ActiveRagdollControllersResearch into controllers for 2d and 3d Active Ragdolls (using MujocoUnity+ml_agents)
Stars: ✭ 30 (-67.39%)
PapersSummaries of machine learning papers
Stars: ✭ 2,362 (+2467.39%)
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 (+156.52%)
AnimCubeAndroidRubik's Cube rendering and interaction library for Android.
Stars: ✭ 57 (-38.04%)
Deep Rl Tradingplaying idealized trading games with deep reinforcement learning
Stars: ✭ 228 (+147.83%)
omdJAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
Stars: ✭ 43 (-53.26%)
AcerActor-critic with experience replay
Stars: ✭ 215 (+133.7%)
deep-blueberryIf you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!
Stars: ✭ 17 (-81.52%)
Chanlun文件 笔和线段的一种划分.py,只需要把k线high,low数据输入,就能自动实现笔,线段,中枢,买卖点,走势类型的划分了。可以把sh.csv 作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难,有人说选股很容易,有人说统计套利需要的IT配套设施很重要。还有人说系统有不可测原理。众说纷纭。分布式的系统,当你的影响可以被忽略,你才能实现,Jiang主席所谓之,闷声发大财。
Stars: ✭ 206 (+123.91%)
cli-cube-timerTime your solves, without leaving the terminal
Stars: ✭ 19 (-79.35%)
Atari Model ZooA binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.
Stars: ✭ 198 (+115.22%)
Rainy☔ Deep RL agents with PyTorch☔
Stars: ✭ 39 (-57.61%)
Naf Tensorflow"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow
Stars: ✭ 192 (+108.7%)
yarllCombining deep learning and reinforcement learning.
Stars: ✭ 84 (-8.7%)
action-branching-agents(AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning
Stars: ✭ 91 (-1.09%)
Pytorch sacPyTorch implementation of Soft Actor-Critic (SAC)
Stars: ✭ 174 (+89.13%)
awesome-rlAwesome RL: Papers, Books, Codes, Benchmarks
Stars: ✭ 105 (+14.13%)
RoboleagueA car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.
Stars: ✭ 236 (+156.52%)
RL courseThe page of the Ural Federal University course "Reinforcement Learning and Neural Networks"
Stars: ✭ 23 (-75%)
DI-starAn artificial intelligence platform for the StarCraft II with large-scale distributed training and grand-master agents.
Stars: ✭ 1,335 (+1351.09%)
Machine Learning Uiuc🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign
Stars: ✭ 233 (+153.26%)
good robot"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer
Stars: ✭ 84 (-8.7%)
Applied Reinforcement LearningReinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
Stars: ✭ 229 (+148.91%)
jax-rlJAX implementations of core Deep RL algorithms
Stars: ✭ 61 (-33.7%)
Deep rl traderTrading Environment(OpenAI Gym) + DDQN (Keras-RL)
Stars: ✭ 222 (+141.3%)
DeeprlModularized Implementation of Deep RL Algorithms in PyTorch
Stars: ✭ 2,640 (+2769.57%)
Pytorch A2c Ppo Acktr GailPyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
Stars: ✭ 2,632 (+2760.87%)
tpprlCode and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018
Stars: ✭ 68 (-26.09%)
abcSeqGAN but with more bells and whistles
Stars: ✭ 25 (-72.83%)
Drl4recsysCourses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems
Stars: ✭ 196 (+113.04%)
FlashRLNo description or website provided.
Stars: ✭ 25 (-72.83%)
Awesome Deep RlA curated list of awesome Deep Reinforcement Learning resources.
Stars: ✭ 193 (+109.78%)
king-pongDeep Reinforcement Learning Pong Agent, King Pong, he's the best
Stars: ✭ 23 (-75%)
dqn-obstacle-avoidanceDeep Reinforcement Learning for Fixed-Wing Flight Control with Deep Q-Network
Stars: ✭ 57 (-38.04%)
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 (-57.61%)
deep rl acrobotTensorFlow A2C to solve Acrobot, with synchronized parallel environments
Stars: ✭ 32 (-65.22%)
ml course"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019
Stars: ✭ 22 (-76.09%)
Fruit-APIA Universal Deep Reinforcement Learning Framework
Stars: ✭ 61 (-33.7%)
scala-rlFunctional Reinforcement Learning in Scala.
Stars: ✭ 26 (-71.74%)
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 (-31.52%)