Difference between revisions of "World Models"
m |
m |
||
| Line 13: | Line 13: | ||
* [[Algorithm Administration#Automated Learning|Automated Learning]] | * [[Algorithm Administration#Automated Learning|Automated Learning]] | ||
* [[Building Your Environment]] | * [[Building Your Environment]] | ||
| − | * [[Simulated Environment Learning]] | + | * [[Robotics]] ... [[Transportation (Autonomous Vehicles)|Vehicles]] ... [[Autonomous Drones|Drones]] ... [[3D Model]] ... [[Point Cloud]] |
| − | + | * [[Simulation]] ... [[Simulated Environment Learning]] ... [[Minecraft]]: [[Minecraft#Voyager|Voyager]] | |
* [[Inside Out - Curious Optimistic Reasoning]] | * [[Inside Out - Curious Optimistic Reasoning]] | ||
* [http://worldmodels.github.io/ Recurrent World Models Facilitate Policy Evolution] | * [http://worldmodels.github.io/ Recurrent World Models Facilitate Policy Evolution] | ||
Revision as of 07:28, 16 June 2024
YouTube search... ...Google search
- World Models | NIPS 2018 - GitHub
- World Models | David Ha, Jürgen Schmidhuber
- World Models in TensorFlow — Episode 1.0 — OpenAi Gym Race Car | Dario Cazzani
- Automated Learning
- Building Your Environment
- Robotics ... Vehicles ... Drones ... 3D Model ... Point Cloud
- Simulation ... Simulated Environment Learning ... Minecraft: Voyager
- Inside Out - Curious Optimistic Reasoning
- Recurrent World Models Facilitate Policy Evolution
- Policy ... Policy vs Plan ... Constitutional AI ... Trust Region Policy Optimization (TRPO) ... Policy Gradient (PG) ... Proximal Policy Optimization (PPO)
Unity AI
YouTube search... ...Google search
