reinforce-js[INACTIVE] A collection of various machine learning solver. The library is an object-oriented approach (baked with Typescript) and tries to deliver simplified interfaces that make using the algorithms pretty simple.
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Mutual labels: deep-reinforcement-learning, reinforcement, temporal-differencing-learning
Easy Rl强化学习中文教程,在线阅读地址:https://datawhalechina.github.io/easy-rl/
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Mutual labels: deep-reinforcement-learning, q-learning, policy-gradient
Hands On Reinforcement Learning With PythonMaster Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
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ExplorerExplorer is a PyTorch reinforcement learning framework for exploring new ideas.
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Mutual labels: deep-reinforcement-learning, q-learning, policy-gradient
Reinforcement learning tutorial with demoReinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
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DeerDEEp Reinforcement learning framework
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Mutual labels: deep-reinforcement-learning, q-learning, policy-gradient
Deep-Reinforcement-Learning-With-PythonMaster classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
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Tetris AiA deep reinforcement learning bot that plays tetris
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Policy GradientMinimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras
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deep rl acrobotTensorFlow A2C to solve Acrobot, with synchronized parallel environments
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Deep Rl Tradingplaying idealized trading games with deep reinforcement learning
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Mutual labels: deep-reinforcement-learning, q-learning
Deeprl algorithmsDeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
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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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LearningxDeep & Classical Reinforcement Learning + Machine Learning Examples in Python
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TorchrlHighly Modular and Scalable Reinforcement Learning
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Deep Qlearning Agent For Traffic Signal ControlA framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.
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Mutual labels: deep-reinforcement-learning, q-learning
Deep Reinforcement Learning With PytorchPyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
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2048 Deep Reinforcement LearningTrained A Convolutional Neural Network To Play 2048 using 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 …
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Practical rlA course in reinforcement learning in the wild
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Mutual labels: course-materials, deep-reinforcement-learning