Problem solved unable to connect colab to local runtime computer to your local offline computer gpu
https://zenodo.org/record/1414384
https://zenodo.org/record/1414384
https://bsm.sfdpw.org/maps/basemapdwg...
AutoCAD Drawings and Legends
data base
AutoCAD Drawings and Legends
https://opendata.victoria.ca/datasets...
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indian deaf dumb dataset important
https://zenodo.org/record/4010759
nimal
https://dataverse.scholarsportal.info...
rice disease dataset important
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COVID-19 PPE Dataset for Object Detection
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https://www.kaggle.com/gunhcolab/obje...
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https://www.kaggle.com/andrewmvd/poth...
rice diease detection
https://www.kaggle.com/minhhuy2810/ri...
reinforcement learning important tutorials 2020
https://towardsdatascience.com/how-to...
https://gist.github.com/karpathy/a416...
http://karpathy.github.io/2016/05/31/rl/
https://github.com/nikitasrivatsan/De...
Nvidia based reinforcement learning
https://github.com/dusty-nv/jetson-re...
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RL zoo
https://github.com/tensorlayer/RLzoo
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https://github.com/aikorea/awesome-rl
how to get raw pixels from breakout in atari games
Do you know how to get a raw pixels from breakout in gym environment?
I wrote this code,but it only outputs zero matrix, I don't know why.I take random action at every episode.Then I decided to play that on my computer(I did that code on colab), and saw that ball only vanishes one brick and stops(or misses the ball, doesn't hit and dies), do you know what is the problem?can you suggest some github repo where breakout is solved using pytorch?
import gym
env = gym.make('Breakout-ram-v0')
for i_episode in range(20):
observation = env.reset()
for t in range(10):
env.render()
print(observation)
action = env.action_space.sample()
observation, reward, done, info = env.step(action)
if done:
print("Episode finished after {} timesteps".format(t+1))
break
env.close()
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YouAgainShmidhoobuh
206d
I’m not 100% sure if this is what you mean, but you can load the game in raw pixels by gym.make(“BreakoutNoFrameskip-v4”).
4
Reply
lostkid900
206d
If you want the pixels you should use the versions of the environments that aren't ram. e.g. "Breakout-v4" or BreakoutNoFrameskip-V4". These versions have the observation as the raw pixels. In the 'ram' version they return the actually memory state of the atari game.
3
Reply
datonefaridze
205d
thank you.I have another question:I have seen people make environment unwrapped and like I guess is this way they get raw pixels from the game, so what is difference between that approach and your approach?nothin?So I can use famous deep mind tutorial for that?
1
Reply
https://www.reddit.com/r/reinforcemen...
https://github.com/MoMe36/WorldModels
https://github.com/MoMe36/Unity
https://github.com/MoMe36
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https://github.com/MoMe36/PPO
Pytorch best tutorials
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https://github.com/MoMe36/Off-Policy-RL
big oh notation best explanation
• Complete Beginner's Guide to Big O No...
build ocr from scratch in GitHub
https://www.quora.com/How-do-I-approa...
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https://hackernoon.com/everything-you...
/ running_colab_notebook_off_of_my_own_gpu
/ running_colab_notebook_off_of_my_own_gpu
connect colab to local runtime windows 10 windows 11 linux Mac os or any os the link given below
• connect colab to local runtime window...
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