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Prikvačeni tweet
A detailed account on the methods we tried to tackle overfitting and improve robustness for Donkey Car at Pixmoving Hackathon https://flyyufelix.github.io/2019/06/04/pixmoving-hackathon.html …
@FeiCheung1@marcoleewow@diyrobocars@thepixmoving#DonkeyCarpic.twitter.com/e7wXktH0Ie
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Felix Yu proslijedio/la je Tweet
ML dev speed hack #1 - PyTorch over TF - Time to first step is faster b/c no static graph compilation - Easier to get loud errors via assertions within the code - Easier to drop into debugger and inspect tensors (TF2.0 may solve some of these problems but is still raw)
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Felix Yu proslijedio/la je Tweet
Blog post and code up for my solution to the Obstacle Tower Challenge. Blog: https://blog.aqnichol.com/2019/07/24/competing-in-the-obstacle-tower-challenge/ … Code:https://github.com/unixpickle/obs-tower2 …
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Great work! Use RL to train DonkeyCar that is applicable towards the real world. Can potentially train the car with RL in a matter of minutes on the real track, with smooth steering.https://twitter.com/araffin2/status/1089858303541342211 …
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Felix Yu proslijedio/la je Tweet
This is how a mechanical binary counter workspic.twitter.com/YuswDTFZoX
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Felix Yu proslijedio/la je Tweet
(1/N) S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) Toolbox for Robotics Github: https://github.com/araffin/robotics-rl-srl … Doc: https://s-rl-toolbox.readthedocs.io/en/latest/ Paper: https://arxiv.org/abs/1809.09369 \w
@NataliaDiazRodr@TLesort@drFilliat cc@casellesduprePrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Felix Yu proslijedio/la je TweetTiger Woods walks with the crowd on No. 18 en route to winning No. 80For more video go to PGATOUR.COMHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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I've hacked together a simulator to train Donkey car with Reinforcement Learning. I trained a Double Deep Q Learning (DDQN) agent to drive the car and it worked! The next step is to transfer the learned policy to the real world! Blog Post: https://flyyufelix.github.io/2018/09/11/donkey-rl-simulation.html …pic.twitter.com/ZsRu1ewxxL
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Felix Yu proslijedio/la je Tweet
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@diyrobocars in case you guys enjoy challenging shadow/highlight patterns; we're on the verge of cracking that problem in France
https://www.youtube.com/watch?v=H2OK_qOsfVA&feature=youtu.be&t=15s …
Fun fact: this RC car was trained 100% in simulation and had never seen that shadow pattern before
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Felix Yu proslijedio/la je Tweet
I wrote a blog post on re-implementing
@pathak2206's Curiosity-Driven Exploration as training option in ML-Agents's PPO:https://blogs.unity3d.com/2018/06/26/solving-sparse-reward-tasks-with-curiosity/ …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Felix Yu proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Blog post detailing the approach that got me a 5th place finish in OpenAI Retro Contest. We trained a reinforcement learning agent to play previously unseen custom levels of Sonic the Hedgehog using transfer learning. https://flyyufelix.github.io/2018/06/11/sonic-rl.html …pic.twitter.com/QsiGskFeVQ
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I’ve implemented Directed Future Prediction (DFP), the RL model that won the ‘Full Deathmatch’ track of the VizDoom AI Competition in 2016. To better understanding DFP and my implementation in Keras, you can find my write-up here: https://flyyufelix.github.io/2017/11/17/direct-future-prediction.html …pic.twitter.com/7Poz9H0503
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Very nice work! A must read for anyone who is interested in the subjecthttps://twitter.com/hardmaru/status/929848797571592192 …
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Felix Yu proslijedio/la je Tweet
A Visual Guide to Evolution Strategies http://blog.otoro.net/2017/10/29/visual-evolution-strategies/ …pic.twitter.com/AvkjBOiWJR
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I’ve implemented DeepMind’s Distribution Bellman “C51” in Keras and tested on VizDoom
@marcgbellemare https://flyyufelix.github.io/2017/10/24/distributional-bellman.html …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Detect and Classify Species of Fish from Fishing Vessels with Modern Object Detectors and ConvNets
#Keras@kaggle https://flyyufelix.github.io/2017/04/16/kaggle-nature-conservancy.html …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Felix Yu proslijedio/la je Tweet
Deep Reinforcement Learning (DDPG) for 3D Car Racing Simulation TORCS with
#Keras#NeedForSpeed https://yanpanlau.github.io/2016/10/11/Torcs-Keras.html …pic.twitter.com/RxPnrRfAHAHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Felix Yu proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Felix Yu proslijedio/la je Tweet
Just out: our new paper unlocks neural nets by removing the dependency on backpropagation using Synthetic Gradients! http://goo.gl/V2r5Ea
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