ملف الباحث
Vladimir Egorov
ورقة واحدة في مجموعة PaperMetrix
المنشورات
أوراق هذا المؤلف
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Self-Imitation Learning from Demonstrations
2022 · arXiv (Cornell University)
Despite the numerous breakthroughs achieved with Reinforcement Learning (RL), solving environments with sparse rewards remains a challenging task that requires sophisticated exploration. Learning from Demonstrations (LfD) remedies this issue by guiding the agent's exploration towards …