Best products from r/reinforcementlearning
We found 10 comments on r/reinforcementlearning discussing the most recommended products. We ran sentiment analysis on each of these comments to determine how redditors feel about different products. We found 8 products and ranked them based on the amount of positive reactions they received. Here are the top 20.
1. Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning series)
2. Markov Decision Processes: Discrete Stochastic Dynamic Programming (Wiley Series in Probability and Statistics)
3. Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
4. SunFounder Remote Control Crawling Robotics Model DIY Kit for Arduino Electronics Servo Motor RC Smart Toys Detail Manual
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- Show off your civic pride, the included hanging hole and tie make this board a wonderful wall art option too; a perfect gift item for anyone who loves San Diego
- Beautiful flat grain bamboo, laser etched side serves as an ideal serving platter and the reverse smooth side is a great cutting surface; It's friendly on knives and hand wash only
- Bamboo is better for the environment; Moso bamboo is an incredibly durable material and it is a renewable resource which grows quickly and doesn’t require clear cutting, artificial irrigation or replanting.
Features:
5. Freenove Quadruped Robot Kit with Remote (Compatible with Arduino IDE Raspberry Pi OS), App Remote Control, Walking Crawling Twisting Servo STEM Project
- This robot can crawl and twist like a living creature. (Assembly required. Battery NOT included.)
- Provides detailed assembly tutorial and complete code -> The download link can be found on the product box. (No paper tutorial.)
- Control methods -> Controlled wirelessly by remote (included in this kit), your Android phone or tablet, iPhone and computer (run Windows, macOS or Raspberry Pi OS).
- Provides support -> Our technical support team is always ready to answer your questions.
- Needs battery -> Refer to "AboutBattery.pdf" in downloaded file to buy.
Features:
7. Modern Control Engineering (5th Edition)
- ROUND & GENTLE COMB TEETH: Unlike dematting combs with sharp teeth, this dog grooming comb features round teeth that break up tangles +effectively remove loose hair, dander & dirt trapped beneath fur.
- ERGONOMIC NO-SLIP HANDLE: Finished with a rubbery grip, our grooming comb is safer & easier to use than most groom tools. The non-slip coating prevents slippery accidents to keep you & your pet safe.
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- COMB COMES WITH FREE EBOOK: DIY pet grooming can be a bit tricky if tools are not used correctly, which is why every SP pet hair comb includes a download of our helpful instructional guide.
- RISK-FREE LIFETIME GUARANTEE: We firmly stand by the lasting quality of our pet grooming tool. If for any reason you're not 100% happy with it, reach out to us to receive a refund or replacement.
Features:
8. Exceed RC 1/16 2.4Ghz Magnet EP Electric RTR Off Road Truck Sava Blue
Powerful high precision RC-380 motor and ESC (Electronic Speed Control)Equipped with high speed motor and bevel gear differential gear boxPre-mounted buggy wheels with durable aggressive thread tires provide high performance in off-road racingTransmission shaft enables the car steadier, light shock ...
Maybe you would be interested in an introduction to Markov Decision Processes like this.
You might also look at Approximate Dynamic Programming texts.
Other than that I agree with the recommendations you have been given.
Haven't taken the course, but I wouldn't recommend buying it. It's just not worth the money in the case of Reinforcement Learning in my opinion. There are free options, that will take you from complete beginner to someone that can understand the rapidly changing field of Reinforcement Learning.
My personal recommendation:
Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more (English Edition) https://www.amazon.de/dp/B076H9VQH6/ref=cm_sw_r_cp_apa_i_RPUDCb2BV3C0B
Jonas
actually crawling bots would be ideal as you wouldn’t have to pick em up when they fall, trials would be faster.
I am interested too.
I found this: https://www.amazon.com/SunFounder-control-Crawling-Robotics-Electronics/dp/B0136AS1ZG
First I'd heard of it, thanks! To wit:
http://incompleteideas.net/book/the-book-2nd.html
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... actual: https://drive.google.com/file/d/1opPSz5AZ_kVa1uWOdOiveNiBFiEOHjkG/view
​
And supposedly it's out as of October 15th. Well, pre-order for Nov 13th: https://www.amazon.com/Reinforcement-Learning-Introduction-Adaptive-Computation/dp/0262039249/ref=sr_1_2?ie=UTF8&qid=1541819572
This also seems like a nice quadruped robot kit, with some documentation and code repository.
> model-based RL seems to borrow a lot of things from Control Theory, for example, LQR, iLQR, DDP
Not to mention, MPC!
Anyways a textbook I had in a digital control course was Computer Controlled Systems, in case that's any help.
Make sure you get a thorough understanding of the Kalman filter, plenty of resources for that.
I leaned control theory from the Ogata textbook during university. The lectures were useless so that's really all I used to prepare for exams. Might be a good skimmable reference if you can find a PDF somewhere.
I suspect the control theory being referenced by model-based RL might be a bit more advanced than an entry level textbook though.
Maybe Deep Reinforcement Learning Hands-On but I haven't read it so I can't guarantee for its quality.
This was the base:
1/16 2.4 Ghz Exceed RC Magnet EP Electric RTR Off Road Truck Sava Blue
I have the roll cage, base-plate and camera on it now instead of the shell.