
重生强化【Reincarnating RL】论文梳理 - 知乎 - 知乎专栏
至于本文提到的重生强化,所提出的算法PVRL(policy (+data) to value RL),他们和上述五个方案的异同点在于,和offline RL一样,利用teacher policy的data做了离线预训练,后面的在线 …
[2206.01626] Reincarnating Reinforcement Learning: Reusing Prior ...
2022年6月3日 · Equipped with this algorithm, we demonstrate reincarnating RL's gains over tabula rasa RL on Atari 2600 games, a challenging locomotion task, and the real-world …
Beyond Tabula Rasa: Reincarnating Reinforcement Learning
2022年11月3日 · To address the inefficiencies of tabula rasa RL, we present “Reincarnating Reinforcement Learning: Reusing Prior Computation To Accelerate Progress” at NeurIPS …
Reincarnating Reinforcement Learning: Reusing Prior Computation …
2022年10月31日 · Equipped with this algorithm, we demonstrate reincarnating RL's gains over tabula rasa RL on Atari 2600 games, a challenging locomotion task, and the real-world …
重生强化【Reincarnating RL】论文梳理 - CSDN博客
2022年12月14日 · 至于本文提到的重生强化,所提出的算法PVRL(policy (+data) to value RL),他们和上述五个方案的异同点在于,和offline RL一样,利用teacher policy的data做了 …
Equipped with this algorithm, we demonstrate reincarnating RL’s gains over tabula rasa RL on Atari 2600 games, a challenging locomotion task, and the real-world problem of navigating …
Reincarnating reinforcement learning | Proceedings of the 36th ...
Equipped with this algorithm, we demonstrate reincarnating RL's gains over tabula rasa RL on Atari 2600 games, a challenging locomotion task, and the real-world problem of navigating …
Reincarnating RL
To address the inefficiencies of tabula rasa RL and help unlock the full potential of deep RL, this workshop would focus on the alternative paradigm of leveraging prior computational work, …
Beyond Tabula Rasa: Reincarnating Reinforcement Learning
This work argues for an alternative approach to RL research, where we build on prior computational work, which we believe could significantly improve real-world RL adoption and …
Reincarnating Reinforcement Learning - ICLR
Learning “tabula rasa”, that is, from scratch without much previously learned knowledge, is the dominant paradigm in reinforcement learning (RL) research. However, learning tabula rasa is …