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To the left, you see a trained agent playing a level of a game. To the right, you see the same playthrough from an agent-centric perspective: cropped, translated, and rotated with the agent in the center. Which perspective is the best input for the agent? https://arxiv.org/abs/2001.09908 pic.twitter.com/7bCtBp8xUG
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What if we see level generation as a game, where each action changes the level in some way? Well, we could use RL to learn to "play" level generation! We introduce Procedural Content Generation via Reinforcement Learning (PCGRL), a new paradigm for PCG. https://arxiv.org/abs/2001.09212 pic.twitter.com/J9c8O5EIM7
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This happens when I can't sleep! The interesting part is that my agents have never seen a ragdoll before, trained on Spheres but they perform well on ragdolls as well.
#madewithunity#mlagents#rl#ReinforcementLearning#DeepLearningpic.twitter.com/NrJK9S8D1nHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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"it seems that [solutions] have not just learned to deal with the complex environment - but advanced a step ahead, and are able to deal with sensory hallucinations" Bug found by
@Chozabu in Gym.@hardmaru this may explain why it was so hard to solve. https://github.com/openai/gym/pull/1789 …pic.twitter.com/d5ukmnlh7n
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Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Happy our new paper "Revealing Neural Network Bias to Non-Experts Through Interactive Counterfactual Examples" w/
@chelmyers,@efreed52,@larispardo,@anushayfurqan, and@jichenz is now on arXiv: https://arxiv.org/abs/2001.02271@ITUkbh@DrexelUnivpic.twitter.com/KhKHhTx13NPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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The government took the plane down "by accident". Maybe the people should take the government down on purpose.
#IranPlaneCrash#iranprotestHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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On the Relationship between Self-Attention and Convolutional Layers This work shows that attention layers can perform convolution and that they often learn to do so in practice. They also prove that a self-attention layer is as expressive as a conv layer. https://openreview.net/forum?id=HJlnC1rKPB …pic.twitter.com/iqioR9eXzU
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Join us in Copenhagen this June and learn about the latest advancements in AI and Games from
@togelius and myself, and industry partners including@DeepMindAI@King_Games@CAGames@unity3d and@modl_ai...and more to come. The early registration is now open!https://twitter.com/GameAISchool/status/1215313524601294848 …
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Studying or teaching Complex Analysis? This online book might be useful.
Complex Analysis: A Visual and Interactive Introduction
https://complex-analysis.com/
#complex#analysis#OpenSource Thanks everyone for your suggestions and reporting issues to improve this project.pic.twitter.com/ElaWs4XjIVHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Introducing Deep Innovation Protection - we scale neuroevolution to more complex tasks such as "VizDoom: Take Cover" by temporally reducing the selection pressure on specific components in an evolving world model. https://arxiv.org/abs/2001.01683 w/
@kenneth0stanley@UberAILabs@ITUkbhpic.twitter.com/9SwEE1K351Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Neural networks tend to Gaussian processes (GPs) as their widths tend to infinity --- now you can play with these GP kernels in
@GoogleColab ! Try out RNN-GP, GRU-GP, Transformer-GP, or Batchnorm-GP today! Repo: https://github.com/thegregyang/GP4A … Colab Entry Point:https://colab.research.google.com/github/thegregyang/GP4A/blob/master/colab/RNN.ipynb …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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"You are being very foolish. ... At your age you cannot waste your time. We will never understand the phenomena of development and regeneration." - T. H. Morgan, in a story recounted by N. J. Berril https://www.nrcresearchpress.com/doi/pdf/10.1139/z83-127 …pic.twitter.com/gVZdqiAQEO
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Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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taesiri proslijedio/la je Tweet
To count an animal population if you can't catch them all: capture some, mark them, release, and capture again. The ratio of new vs already seen tells you something about the total number. Shown here is iterated mark-and-recapture with a Bayesian updates to belief about pop sizepic.twitter.com/jZF7HXddiq
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I just posted "[Unity] Ragdoll or Ragball!" on Reddithttps://www.reddit.com/r/GamePhysics/comments/eig96j/unity_ragdoll_or_ragball/?utm_content=post&utm_medium=twitter&utm_source=share&utm_name=submit&utm_term=t3_eig96j …
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Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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