Self-Supervised Learning
Intrinsically Motivated Goal Exploration Processes
Introduced by Forestier et al. in Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum LearningPopulation-based intrinsically motivated goal exploration algorithms applied to real world robot learning of complex skills like tool use.
Source: Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum LearningPapers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Continuous Control | 1 | 20.00% |
| Reinforcement Learning (RL) | 1 | 20.00% |
| Developmental Learning | 1 | 20.00% |
| Multi-Goal Reinforcement Learning | 1 | 20.00% |
| Self-Supervised Learning | 1 | 20.00% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
