Meta Learning On Ml10

Meta-test success rate (zero-shot)

Meta-train success rate

评测结果

各个模型在此基准测试上的表现结果

			Paper Title
MZ+Recon	25	97.8%	Procedural Generalization by Planning with Self-Supervised World Models
MZ	26.5	97.6%	Procedural Generalization by Planning with Self-Supervised World Models
RL^2	-	50%	Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
PEARL	-	42.78%	Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
MAML	-	25%	Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
DnC	-	-	Analyzing Policy Distillation on Multi-Task Learning and Meta-Reinforcement Learning in Meta-World

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