Meta Learning On Mt50
Metrics
Average Success Rate
Results
Performance results of various models on this benchmark
Model Name | Average Success Rate | Paper Title | Repository |
|---|---|---|---|
| NDP | 11% | Neural Dynamic Policies for End-to-End Sensorimotor Learning | - |
| Multi-task multi-head SAC | 35.85% | Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning | - |
| SoftModule | 60.0% | Multi-Task Reinforcement Learning with Soft Modularization | - |
| DisCor | 26% | DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction | - |
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