daominglyu Goto Github PK
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daominglyu's Projects
pytorch-ddpg-naf
Implementation of algorithms for continuous control (DDPG and NAF).
pytorch-deep-learning-minicourse
Minicourse in Deep Learning with PyTorch
pytorch-dilated-rnn
Dilated RNNs in pytorch
pytorch-examples
Simple examples to introduce PyTorch
pytorch-hdqn
hierarchical-DQN in pytorch
pytorch-optimizer
torch-optimizer -- collection of optimizers for Pytorch
pytorch-reinforce
PyTorch Implementation of REINFORCE for both discrete & continuous control
pytorch-rl
Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]
pytorch-trpo
PyTorch Implementation of Trust Region Policy Optimization (TRPO)
pytorch-tutorial
Build your neural network easy and fast
pytorch-tutorial-1
PyTorch Tutorial for Deep Learning Researchers
pytorch_active_learning
PyTorch Introduction to Active Learning
pytorch_tutorial
《Pytorch模型训练实用教程》中配套代码
pytorchzerotoall
Simple PyTorch Tutorials Zero to ALL!
q-tutorials
A collection of tutorial projects and datasets for learning how to use the Maana Knowledge Platform
rainbow
A PyTorch implementation of Rainbow DQN agent
random-network-distillation
Code for the paper "Exploration by Random Network Distillation"
ray
A high-performance distributed execution engine
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
reinforcement-learning-1
Minimal and Clean Reinforcement Learning Examples
reinforcement-learning-algorithms
This Repository Contains Most of Classic Deep Reinforcement Learning Algorithms, including - DQN, DDPG, A3C, PPO, TRPO. (More algorithms are still in progress)
reinforcement-learning-an-introduction
Python code for Reinforcement Learning: An Introduction
reinforcement-learning-notebooks
A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.
reinforcement-learning-pytorch
Minimal and Clean Reinforcement Learning Examples in PyTorch
reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
reinforcementlearning-atarigame
Pytorch 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
rejection-sampling
MATLAB implementation of two rejection sampling algorithms
rl-adventure
Pytorch easy-to-follow step-by-step Deep Q Learning tutorial with clean readable code.
rl-adventure-2
PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay
rl-examples
Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow
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