reinforcement-learning-algorithms

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kinwo / deeprl-continuous-control

Learning Continuous Control in Deep Reinforcement Learning

reinforcement-learning deep-reinforcement-learning pytorch reinforcement-learning-algorithms ddpg continuous-control ddpg-algorithm ddpg-agent unity-ml-agents

Updated Nov 24, 2018
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rldotai / varcompfa

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Reinforcement learning variance comparison under function approximation.

python reinforcement-learning reinforcement-learning-algorithms

Updated Feb 11, 2021
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kinwo / deeprl-tennis-competition

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Learning to play tennis from scratch with AlphaGo Zero style self-play using DDPG

reinforcement-learning deep-reinforcement-learning pytorch reinforcement-learning-algorithms ddpg alphago ddpg-algorithm reinforcement-learning-agent alphago-zero ddpg-agent alphagozero

Updated Nov 24, 2018
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chawk073uofc / aim4sim-shout-ahead

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A combination of reinforcement and evolutionary learning are used in an attempt to allow autonomous vehicles to learn behaviors necessary for the navigation of an intersection in a simple 2D traffic simulator. The open source AIM4 simulator developed by the Learning Agents Research Group at The University of Texas was extended to implement a spe…

java machine-learning reinforcement-learning communication machine-learning-algorithms collaboration artificial-intelligence evolutionary-algorithms reinforcement-learning-algorithms autonomous-car multiagent-systems autonomous-vehicles aim evolutionary-algorithm rule-based

Updated Jul 13, 2017
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paulfoley / Udacity_Nanodegree-Machine_Learning

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Udacity Nanodegree - Machine Learning - Supervised Learning, Unsupervised Learning, and Reinforcement Learning

machine-learning udacity reinforcement-learning certificate machine-learning-algorithms supervised-learning reinforcement-learning-algorithms unsupervised-learning udacity-nanodegree unsupervised-learning-algorithms udacity-machine-learning-nanodegree supervised-machine-learning unsupervised-machine-learning supervised-unsupervised-learning supervised-learning-algorithms unsupervised-clustering

Updated Aug 3, 2017
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sharmaroshan / Introduction-to-Reinforcement-Learning

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During this final project, we will build a deep neural network and use reinforcement learning to solve a cart and pole balancing problem using OpenAI. OpenAI Gym is a tookit for developing and comparing reinforcement learning algorithms that was built by OpenAI, a non-profit artificial intelligence research company founded by Elon Musk and Sam A…

python reinforcement-learning tutorials reinforcement-learning-algorithms introduction beginners final-project

Updated Aug 18, 2019
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yierw / Deep-Reinforcement-Learning-pytorch

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Implement popular DRL algorithms (REINFORCE, PPO, DQN, Dueling Net, Prioritized Experience Replay, DDPG, MADDPG, A2C, etc.)

deep-learning deep-reinforcement-learning reinforcement-learning-algorithms gym-environments

Updated Aug 27, 2021
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ddihora1604 / QuestX

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QuestX is an AI-powered adaptive quiz platform that generates dynamic multimodal flashcards (text, audio, video) from unstructured inputs. Built with Python, React + Vite, and Flask, it uses reinforcement learning to adjust quiz difficulty in real-time and tailors study resource recommendations based on user performance.

python flask reactjs recommendation-system reinforcement-learning-algorithms gemini-api