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Baby A3cA high-performance Atari A3C agent in 180 lines of PyTorch
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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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A3c PytorchPyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch
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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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A3cMXNET + OpenAI Gym implementation of A3C from "Asynchronous Methods for Deep Reinforcement Learning"
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BtgymScalable, event-driven, deep-learning-friendly backtesting library
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Deep Rl KerasKeras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
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Ai BlogAccompanying repository for Let's make a DQN / A3C series.
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Rl4jDeep Reinforcement Learning for the JVM (Deep-Q, A3C)
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Rl Starter FilesRL starter files in order to immediatly train, visualize and evaluate an agent without writing any line of code
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Deeprl Tensorflow2🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
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Pysc2 AgentsThis is a simple implementation of DeepMind's PySC2 RL agents.
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Deep-Reinforcement-Learning-NotebooksThis Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.
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a3cPyTorch implementation of "Asynchronous advantage actor-critic"
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tf-a3c-gpuTensorflow implementation of A3C algorithm
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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
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pytorch-noreward-rlpytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction
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cups-rlCustomisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"
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deep rl acrobotTensorFlow A2C to solve Acrobot, with synchronized parallel environments
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yarllCombining deep learning and reinforcement learning.
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