valdersoul

## pytorch-dqn.py
from __future__ import division
from collections import deque
import gym
from gym import wrappers
import numpy as np
import random

import torch
from torch import nn
from torch.autograd import Variable

## gist:bcfdf390f061e497820a9dbdaf434784

      
        
          
            
              
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                valdersoul
                / gist:bcfdf390f061e497820a9dbdaf434784
            
            
              Created
              September 9, 2016 20:27
                — forked from entaroadun/gist:1653794
            
              
                Recommendation and Ratings Public Data Sets For Machine Learning 
              
          
        
      
        
  
      
    Movies Recommendation:

MovieLens - Movie Recommendation Data Sets http://www.grouplens.org/node/73
Yahoo! - Movie, Music, and Images Ratings Data Sets http://webscope.sandbox.yahoo.com/catalog.php?datatype=r
Jester - Movie Ratings Data Sets (Collaborative Filtering Dataset) http://www.ieor.berkeley.edu/~goldberg/jester-data/
Cornell University - Movie-review data for use in sentiment-analysis experiments http://www.cs.cornell.edu/people/pabo/movie-review-data/

Music Recommendation:

Last.fm - Music Recommendation Data Sets http://www.dtic.upf.edu/~ocelma/MusicRecommendationDataset/index.html
	from __future__ import division
	from collections import deque
	import gym
	from gym import wrappers
	import numpy as np
	import random

	import torch
	from torch import nn
	from torch.autograd import Variable