yarllCombining deep learning and reinforcement learning.
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Fruit-APIA Universal Deep Reinforcement Learning Framework
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Deep-rl-mxnetMxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO
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king-pongDeep Reinforcement Learning Pong Agent, King Pong, he's the best
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Master-ThesisDeep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex
Stars: ✭ 33 (+0%)
Pytorch DrlPyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
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Noisynet A3cNoisy Networks for Exploration
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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.
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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)。
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Naf Tensorflow"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow
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Machine Learning Is All You Need🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
Stars: ✭ 173 (+424.24%)
Deep Rl Tradingplaying idealized trading games with deep reinforcement learning
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Accel Brain CodeThe purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.
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Deep Reinforcement Learning Algorithms31 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
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marltoolboxA toolbox with the goal of speeding up research on bargaining in MARL (cooperation problems in MARL).
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GamA PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
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Gym CarlaAn OpenAI gym wrapper for CARLA simulator
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Spinning Up BasicBasic versions of agents from Spinning Up in Deep RL written in PyTorch
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AcerActor-critic with experience replay
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Go Bot DrlGoal-Oriented Chatbot trained with Deep Reinforcement Learning
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Baby A3cA high-performance Atari A3C agent in 180 lines of PyTorch
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RoboleagueA car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.
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Drl4recsysCourses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems
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agentmodels.orgModeling agents with probabilistic programs
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Awesome Deep RlA curated list of awesome Deep Reinforcement Learning resources.
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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.
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PcgradCode for "Gradient Surgery for Multi-Task Learning"
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Pytorch sacPyTorch implementation of Soft Actor-Critic (SAC)
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Machine Learning Uiuc🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign
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DrlRepository for codes of 'Deep Reinforcement Learning'
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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 (+90.91%)
Applied Reinforcement LearningReinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
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AirsimOpen source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
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Deep rl traderTrading Environment(OpenAI Gym) + DDQN (Keras-RL)
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Awesome Deep NeuroevolutionA collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)
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action-branching-agents(AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning
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MinimalrlImplementations of basic RL algorithms with minimal lines of codes! (pytorch based)
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DeeprlModularized Implementation of Deep RL Algorithms in PyTorch
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ScalphagozeroAn independent implementation of DeepMind's AlphaGoZero in Scala, using Deeplearning4J (DL4J)
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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)
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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 (+7875.76%)
D3rlpyAn offline deep reinforcement learning library
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Finrl LibraryFinRL: Financial Reinforcement Learning Framework. Please star. 🔥
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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。
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Machine Learning And Data ScienceThis is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.
Stars: ✭ 137 (+315.15%)