Web: http://arxiv.org/abs/2209.12347

Sept. 28, 2022, 1:15 a.m. | Vittorio Giammarino

cs.CV updates on arXiv.org arxiv.org

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.

animals arxiv challenges reinforcement reinforcement learning videos

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