Published on June 1, 2018 by

In this video I dive into three advanced papers that addres the problem of the sparse reward setting in Deep Reinforcement Learning and pose interesting research directions for mastering unsupervised learning in autonomous agents.

Papers discussed:

Reinforcement Learning with Unsupervised Auxiliary Tasks – DeepMind:
https://arxiv.org/abs/1611.05397

Curiosity Driven Exploration – UC Berkeley:
https://arxiv.org/abs/1705.05363

Hindsight Experience Replay – OpenAI:
https://arxiv.org/abs/1707.01495

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