54 citations · 147 across the 10 of their papers we have counts for
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Ryoya Ogishima, Izumi Karino, Yasuo Kuniyoshi
Reinforcement Learning (RL) requires a large amount of exploration especially in sparse-reward settings. Imitation Learning (IL) can learn from expert demonstrations without explor…