Offline Reinforcement Learning Methods
Implicit Q-Learning
Introduced by Kostrikov et al. in Offline Reinforcement Learning with Implicit Q-LearningPapers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Reinforcement Learning (RL) | 8 | 34.78% |
| Offline RL | 7 | 30.43% |
| D4RL | 3 | 13.04% |
| SMAC | 1 | 4.35% |
| SMAC+ | 1 | 4.35% |
| Starcraft | 1 | 4.35% |
| Quantization | 1 | 4.35% |
| Multi-agent Reinforcement Learning | 1 | 4.35% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
