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NathanGavenski
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How-Resilient-are-Imitation-Learning-Methods-to-Sub-Optimal-Experts

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Imitation Learning

Expert Trajectories

Classic Control

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How-Resilient-are-Imitation-Learning-Methods-to-Sub-Optimal-Experts / Experts

1.13 GB

2 contributors

History: 1 commit

NathanGavenski's picture

add experts and edit readme.md

08db9f8 over 3 years ago

expert_Acrobot-v1.npz
27.3 MB
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expert_Acrobot-v1_criteria100.npz
20.2 MB
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expert_Acrobot-v1_criteria150.npz
28.7 MB
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expert_Acrobot-v1_criteria200.npz
41.1 MB
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expert_Acrobot-v1_criteria250.npz
50.1 MB
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add experts and edit readme.md over 3 years ago
expert_CartPole-v1.npz
123 MB
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expert_CartPole-v1_criteria100.npz
18.6 MB
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expert_CartPole-v1_criteria200.npz
36.5 MB
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expert_CartPole-v1_criteria300.npz
58.5 MB
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expert_CartPole-v1_criteria400.npz
71.8 MB
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expert_LunarLander-v2.npz
107 MB
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expert_LunarLander-v2_criteria0_rwd_4.npz
86.9 MB
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expert_LunarLander-v2_criteria100_rwd_98.npz
103 MB
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expert_LunarLander-v2_criteria150_rwd_151.npz
131 MB
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expert_LunarLander-v2_criteria50_rwd_60.npz
141 MB
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add experts and edit readme.md over 3 years ago
expert_MountainCar-v0.npz
16.5 MB
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expert_MountainCar-v0_criteria130.npz
16.2 MB
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expert_MountainCar-v0_criteria140.npz
17.2 MB
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expert_MountainCar-v0_criteria150.npz
18.7 MB
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add experts and edit readme.md over 3 years ago
expert_MountainCar-v0_criteria160.npz
19.6 MB
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add experts and edit readme.md over 3 years ago