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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2048 Deep Reinforcement LearningTrained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning
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Gym FxForex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV file containing rates and indicators. Work In Progress
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king-pongDeep Reinforcement Learning Pong Agent, King Pong, he's the best
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VREP-RL-botReinforcement Learning in Vrep
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dqn-lambdaNeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.
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marleyA framework for multi-agent reinforcement learning.
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RL-2018Reinforcement Learning at UCLA IPAM RIPS 2018
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relearnA Reinforcement Learning Library for C++11/14
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ExplorerExplorer is a PyTorch reinforcement learning framework for exploring new ideas.
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RLReinforcement Learning Demos
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Paddle-RLBooksPaddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
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java-reinforcement-learningPackage provides java implementation of reinforcement learning algorithms such Q-Learn, R-Learn, SARSA, Actor-Critic
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qbso-fsPython implementation of QBSO-FS : a Reinforcement Learning based Bee Swarm Optimization metaheuristic for Feature Selection problem.
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Warehouse Robot Path PlanningA multi agent path planning solution under a warehouse scenario using Q learning and transfer learning.🤖️
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flowHigh frequency AI based algorithmic trading module.
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cs7641-assignment4CS7641 - Machine Learning - Assignment 4 - Markov Decision Processes
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