Deep Rl Tradingplaying idealized trading games with deep reinforcement learning
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Applied Reinforcement LearningReinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
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king-pongDeep Reinforcement Learning Pong Agent, King Pong, he's the best
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deep-rl-quadcopterImplementation of Deep Deterministic Policy Gradients (DDPG) to teach a Quadcopter How to Fly!
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Paddle-RLBooksPaddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
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SRLFSimple Reinforcement Learning Framework
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wolpertinger ddpgWolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatible.
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xingtianxingtian is a componentized library for the development and verification of reinforcement learning algorithms
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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).
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DrqDrQ: Data regularized Q
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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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Pytorch DdpgImplementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch
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Openai labAn experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
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pytorch-rlPytorch Implementation of RL algorithms
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GdrlGrokking Deep Reinforcement Learning
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Ppo PytorchMinimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
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Crypto RlDeep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent
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DDPGEnd to End Mobile Robot Navigation using DDPG (Continuous Control with Deep Reinforcement Learning) based on Tensorflow + Gazebo
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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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Rl Portfolio ManagementAttempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)
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IntrotodeeplearningLab Materials for MIT 6.S191: Introduction to Deep Learning
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Practical rlA course in reinforcement learning in the wild
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Pytorch RlPyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
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Pytorch RlDeep Reinforcement Learning with pytorch & visdom
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Parl SampleDeep reinforcement learning using baidu PARL(maze,flappy bird and so on)
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Rl BookSource codes for the book "Reinforcement Learning: Theory and Python Implementation"
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Deep Q LearningMinimal Deep Q Learning (DQN & DDQN) implementations in Keras
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Gym ContinuousdoubleauctionA custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.
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Mit Deep LearningTutorials, assignments, and competitions for MIT Deep Learning related courses.
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Deep Rl KerasKeras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
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Policy Gradient MethodsImplementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
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Run Skeleton RunReason8.ai PyTorch solution for NIPS RL 2017 challenge
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Rainbow Is All You NeedRainbow is all you need! A step-by-step tutorial from DQN to Rainbow
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Ml In TfGet started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!
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Torch AcRecurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
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TorchrlHighly Modular and Scalable Reinforcement Learning
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OpenaigymSolving OpenAI Gym problems.
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Ctc ExecutionerMaster Thesis: Limit order placement with Reinforcement Learning
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Deep Rl TensorflowTensorFlow implementation of Deep Reinforcement Learning papers
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Rl QuadcopterTeach a Quadcopter How to Fly!
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Ros2learnROS 2 enabled Machine Learning algorithms
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Reinforcementlearning AtarigamePytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games
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Learning Notes💡 Repo of learning notes in DRL and DL, theory, codes, models and notes maybe.
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DrlRepository for codes of 'Deep Reinforcement Learning'
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Keras Rl2Reinforcement learning with tensorflow 2 keras
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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.
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