Command Palette
Search for a command to run...
Meta Learning On Mt50
Metrics
Average Success Rate
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| SoftModule | 60.0% | Multi-Task Reinforcement Learning with Soft Modularization | |
| Multi-task multi-head SAC | 35.85% | Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning | |
| DisCor | 26% | DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction | |
| NDP | 11% | Neural Dynamic Policies for End-to-End Sensorimotor Learning | - |
0 of 4 row(s) selected.