Hacker News
- Evolving Reinforcement Learning Algorithms https://ai.googleblog.com/2021/04/evolving-reinforcement-learning.html 2 comments
Linking pages
- Google Research: Themes from 2021 and Beyond – Google AI Blog https://ai.googleblog.com/2022/01/google-research-themes-from-2021-and.html 52 comments
- OptFormer: Towards Universal Hyperparameter Optimization with Transformers – Google AI Blog https://ai.googleblog.com/2022/08/optformer-towards-universal.html 1 comment
- Google at ICLR 2021 – Google AI Blog https://ai.googleblog.com/2021/05/google-at-iclr-2021.html 0 comments
- Open Source Vizier: Towards reliable and flexible hyperparameter and blackbox optimization – Google AI Blog https://ai.googleblog.com/2023/02/open-source-vizier-towards-reliable-and.html 0 comments
Linked pages
- [1511.05952] Prioritized Experience Replay https://arxiv.org/abs/1511.05952 19 comments
- Graph (discrete mathematics) - Wikipedia https://en.wikipedia.org/wiki/Graph_(discrete_mathematics) 15 comments
- Part 2: Kinds of RL Algorithms — Spinning Up documentation https://spinningup.openai.com/en/latest/spinningup/rl_intro2.html#a-taxonomy-of-rl-algorithms 13 comments
- Directed acyclic graph - Wikipedia https://en.wikipedia.org/wiki/Directed_acyclic_graph 12 comments
- [1611.02779] RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning https://arxiv.org/abs/1611.02779 9 comments
- https://gym.openai.com/envs/#robotics 7 comments
- Bellman equation - Wikipedia https://en.wikipedia.org/wiki/Bellman_equation 6 comments
- AutoML-Zero: Evolving Code that Learns – Google AI Blog https://ai.googleblog.com/2020/07/automl-zero-evolving-code-that-learns.html 4 comments
- https://gym.openai.com/envs/CartPole-v0/ 3 comments
- GitHub - Farama-Foundation/Minigrid: Simple and easily configurable grid world environments for reinforcement learning https://github.com/maximecb/gym-minigrid 3 comments
- Google AI Blog: MnasNet: Towards Automating the Design of Mobile Machine Learning Models https://ai.googleblog.com/2018/08/mnasnet-towards-automating-design-of.html 0 comments
- [2007.08794] Discovering Reinforcement Learning Algorithms https://arxiv.org/abs/2007.08794 0 comments
- [2101.03958] Evolving Reinforcement Learning Algorithms https://arxiv.org/abs/2101.03958 0 comments
- Using Evolutionary AutoML to Discover Neural Network Architectures – Google AI Blog https://ai.googleblog.com/2018/03/using-evolutionary-automl-to-discover.html 0 comments
- [1509.06461] Deep Reinforcement Learning with Double Q-learning http://arxiv.org/abs/1509.06461 0 comments
- Loss function - Wikipedia https://en.wikipedia.org/wiki/Loss_function 0 comments
- Supervised learning - Wikipedia http://en.wikipedia.org/wiki/Supervised_learning 0 comments
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