NathanGavenski commited on Sep 23, 2022

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add experts and edit readme.md

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@@ -1,3 +1,17 @@
 ---
 license: mit
 ---

+# How Resilient are Imitation Learning Methods to Sub-Optimal Experts?
+Trajectories used in [How Resilient are Imitation Learning Methods to Sub-Optimal Experts?]()
+These trajectories are formed by using [Stable Baselines](https://stable-baselines.readthedocs.io/en/master/).
+Each file is a dict of a set of trajectories with the following keys:
+* actions: the action in the given timestemp `t`
+* obs: current state in the given timestemp `t`
+* rewards: reward retrieved after the action in the given timestemp `t`
+* episode_returns: The aggregated reward of each episode (each file consists of 5000 runs)
+* episode_Starts: Whether that `obs` is the first state of an episode (boolean list).
+The code that uses this data is on GitHub: https://github.com/NathanGavenski/How-resilient-IL-methods-are
 ---
 license: mit
 ---