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- Mastering diverse control tasks through world models https://www.nature.com/articles/s41586-025-08744-2 0 comments
- Mastering diverse control tasks through world models https://www.nature.com/articles/s41586-025-08744-2 0 comments
Linking pages
Linked pages
- Creative Commons — Attribution 4.0 International — CC BY 4.0 https://creativecommons.org/licenses/by/4.0/ 95 comments
- [2205.06175] A Generalist Agent https://arxiv.org/abs/2205.06175 58 comments
- [2305.16291] Voyager: An Open-Ended Embodied Agent with Large Language Models https://arxiv.org/abs/2305.16291 18 comments
- [2106.14876] Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft https://arxiv.org/abs/2106.14876 5 comments
- https://arxiv.org/abs/1707.06347 3 comments
- OpenAI Five intro https://blog.gregbrockman.com/openai-five-benchmark-intro 0 comments
- The 37 Implementation Details of Proximal Policy Optimization · The ICLR Blog Track https://iclr-blog-track.github.io/2022/03/25/ppo-implementation-details/ 0 comments
- [1801.00690] DeepMind Control Suite https://arxiv.org/abs/1801.00690 0 comments
- [1904.10079] The MineRL 2019 Competition on Sample Efficient Reinforcement Learning using Human Priors https://arxiv.org/abs/1904.10079 0 comments
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