Data for: Deterministic Generative Adversarial Imitation Learning
Published: 31 March 2020| Version 1 | DOI: 10.17632/yt7jbv9nts.1
Contributor:
Guoyu ZuoDescription
This data set is the experimental data for Deterministic Generative Adversarial Imitation Learning, which includes the cumulative rewards of the agent exploration process and several groups of motion trajectories.
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Reinforcement Learning