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The Top 23 Tensorflow Reinforcement Learning Open Source Projects

Open source projects categorized as Tensorflow Reinforcement Learning
Categories > Machine Learning > Reinforcement Learning
Categories > Machine Learning > Tensorflow
Sdk ⭐ 89
Metadata store for Production ML
dependent packages 3total releases 461most recent commit 2 years agopypi layer} Downloads
Reinforcement_learning ⭐ 89
강화학습에 대한 기본적인 알고리즘 구현
most recent commit 6 years ago
Rl Examples ⭐ 88
Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow
most recent commit 4 years ago
Ddpg_biped ⭐ 88
Repository for Planar Bipedal walking robot in Gazebo environment using Deep Deterministic Policy Gradient(DDPG) using TensorFlow.
most recent commit 5 years ago
Cloudsimpy ⭐ 88
CloudSimPy: Datacenter job scheduling simulation framework
most recent commit 3 years ago
Mindwave ⭐ 86
MindWave is an open-source project designed for beginners to learn about data science, machine learning, deep learning, and reinforcement learning algorithms using Python. The project offers a platform for implementing relevant algorithms, with open-source tools and libraries.
most recent commit 4 months ago
Openaigym ⭐ 86
Solving OpenAI Gym problems.
most recent commit 3 years ago
Yarll ⭐ 84
Combining deep learning and reinforcement learning.
total releases 12most recent commit 3 years ago
Sc2aibot ⭐ 84
Implementing reinforcement-learning algorithms for pysc2 -environment
most recent commit 6 years ago
Connect4 Alpha Zero ⭐ 83
Connect4 reinforcement learning by AlphaGo Zero methods.
most recent commit 6 years ago
Run Skeleton Run ⭐ 81
Reason8.ai PyTorch solution for NIPS RL 2017 challenge
most recent commit 5 years ago
Reinforcement Learning For Self Driving Cars ⭐ 78
Project on design and implement neural network that maximises driving speed of self-driving car through reinforcement learning.
most recent commit 4 years ago
Deep Reinforcement Learning For Dynamic Spectrum Access ⭐ 77
Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication
most recent commit 5 years ago
Magnet ⭐ 75
MAGNet: Multi-agents control using Graph Neural Networks
most recent commit 5 years ago
Gail_gym ⭐ 75
Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.
most recent commit 5 years ago
Rltf ⭐ 75
Reinforcement Learning implementations and research prototyping in TensorFlow
most recent commit 5 years ago
Rl ⭐ 75
Generic reinforcement learning codebase in TensorFlow
most recent commit 4 years ago
Rl Course Experiments ⭐ 73
most recent commit 7 years ago
Recurrent Environment Simulators ⭐ 73
Deepmind Recurrent Environment Simulators paper implementation in tensorflow
most recent commit 6 years ago
Recommender_system_via_deep_rl ⭐ 73
The implemetation of Deep Reinforcement Learning based Recommender System from the paper Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling by Liu et al.
most recent commit 10 months ago
Ppo ⭐ 72
Proximal Policy Optimization implementation with TensorFlow
most recent commit 6 years ago
Tensorswarm ⭐ 69
TensorSwarm: A framework for reinforcement learning of robot swarms.
most recent commit 4 years ago
Async Deep Rl ⭐ 68
A Tensorflow based implementation of "Asynchronous Methods for Deep Reinforcement Learning": https://arxiv.org/abs/1602.01783
most recent commit 7 years ago
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