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On the Opportunities and Challenges of using Animals Videos in Reinforcement Learning. (arXiv:2209.12347v2 [eess.SY] UPDATED)
We investigate the use of animals videos to improve efficiency and
performance in Reinforcement Learning (RL). Under a theoretical perspective, we
motivate the use of weighted policy optimization for off-policy RL, describe
the main challenges when learning from videos and propose solutions. We test
our ideas in offline and online RL and show encouraging results on a series of
2D navigation tasks.