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SS-MAIL: Self-Supervised Multi-Agent Imitation Learning
We show that our method (SS-MAIL) outperforms prior state-of-the-art methods on real-world prediction tasks, as well as on custom-designed synthetic experiments.
Hierarchical Average Reward Policy Gradient Algorithms
Option-critic learning is a general-purpose reinforcement learning (RL) framework that aims to address the issue of long term credit assignment by leveraging temporal abstractions.
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