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| Name | Self-Supervised RL - Learning Without Data [Zero to Paper] |
| Video Uploader | Video From Edan Meyer |
| Upload Date | This Video Uploaded At 07-07-2021 11:00:04 |
| Video Discription | Inverse Reinforcement Learning with Natural Language Goals (LangGoal IRL) offers a way to do sample-efficient IRL and a way to generalize using self-supervised learning. The paper is novel and is a step forward for general AI and ML algorithms. Though it has its cons, I think it is one of the better papers out there that cover RL, IRL, NLP, and generalization. Zero to Paper playlist: https://www.youtube.com/playlist?list=PL_49VD9KwQ_ONxENRk11jFEI3_pqAwaug Inverse Reinforcement Learning video: https://www.youtube.com/watch?v=qo355ALvLRI Paper covered: https://arxiv.org/pdf/2008.06924.pdf |
| Category | Science & Technology |
| Tags | language grounding | language in RL | nlp in rl | reinforcement learning | nlp in games | zero to paper | reinforcement learning with language | language-assisted rl | language-conditioned rl | machine learning | research | deep mind | ml research | machine learning games | language-conditioned policy | language conditioned reward | artificial intelligence | self-supervised learning | self supervised learning | agi theory | rl robotics | langgoal irl |
