Explore >> Select a destination
|
You are here 
|
www.assemblyai.com | ||
| | | | |
blog.vgod.tw
|
|
| | | | | ||
| | | | |
niklasriewald.com
|
|
| | | | | The last post was about playing optimal Pokemon games by calculating the value function V(x) using Bellmann equations. Unfortunately, this was impractical, so we need another way to calculate the likelihood of winning games. One solution to this problem is called Value Function Approximation. The idea behind it is to not calculate the value function... | |
| | | | |
enginius.tistory.com
|
|
| | | | | Few selected papers I've enjoyed reading. More comprehensive list can be found in [https://spinningup.openai.com/en/latest/spinningup/keypapers.html]. Model-Free RL 1. Playing Atari with Deep Reinforcement Learning, Mnih et al, 2013. Algorithm: DQN https://arxiv.org/abs/1312.5602 Playing Atari with Deep Reinforcement Learning We present the first deep learning model to successfully learn control.. | |
| | | | |
lagatar24.com
|
|
| | | LAGATAR24 NETWORK Ranchi, Dec 24: A scientific seminar cum Christmas get-together to discuss eye diseases was organised here on | ||
