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YuXiaoyan's starred repositories

DeepRL

Framework for deep reinforcement learning.

Language:PythonMIT2900

deep-reinforcement-learning-papers

A list of recent papers regarding deep reinforcement learning

Asynchronous-Methods-for-Deep-Reinforcement-Learning

Using a paper from Google DeepMind I've developed a new version of the DQN using threads exploration instead of memory replay as explain in here: http://arxiv.org/pdf/1602.01783v1.pdf I used the one-step-Q-learning pseudocode, and now we can train the Pong game in less than 20 hours and without any GPU or network distribution.

Language:Python8400

deep-theano-rnn-lstm-car

Pack of Drones: Layered reinforcement learning (Q-learning w/ RNN) for complex "hunt" behaviors

Language:Jupyter NotebookMIT6100

tensorflow-reinforce

Implementations of Reinforcement Learning Models in Tensorflow

Language:PythonMIT48700

DQN-Tutorial

Starter code for doing reinforcement learning with neural networks in TensorFlow

Language:Python600

RL_EXAMPLES_TENSORFLOW

Examples for Reinforcement Learning

Language:Python100

tensorflow-neat

implementation of neat like genetic algorithm for finding network topologies in tensorflow

Language:Python6800

esp

ESP (Enforced Sub-Population) implementation in Go

Language:Go200

LSTM_tsc

An LSTM for time-series classification

Language:PythonMIT40800

lstm

Minimal, clean example of lstm neural network training in python, for learning purposes.

Language:Python174800

seq2seq-attn

Sequence-to-sequence model with LSTM encoder/decoders and attention

Language:LuaMIT125700

lstm-odyssey

Implementations of "LSTM: A Search Space Odyssey" variants and their training results on the PTB dataset.

Language:Jupyter Notebook9600

RNN_basketball

LSTM + MDN for basketball trajectories

Language:Python14300

rnn_ctc

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

Language:PythonApache-2.022000