Mastering Atari with Discrete World Models – Google AI Blog

Linking pages

Training Generalist Agents with Multi-Game Decision Transformers – Google AI Blog https://ai.googleblog.com/2022/07/training-generalist-agents-with-multi.html 6 comments
Deep Hierarchical Planning from Pixels – Google AI Blog https://ai.googleblog.com/2022/07/deep-hierarchical-planning-from-pixels.html 1 comment
Google at ICLR 2021 – Google AI Blog https://ai.googleblog.com/2021/05/google-at-iclr-2021.html 0 comments
Pathdreamer: A World Model for Indoor Navigation – Google AI Blog http://ai.googleblog.com/2021/09/pathdreamer-world-model-for-indoor.html 0 comments

Linked pages

MuZero: Mastering Go, chess, shogi and Atari without rules https://deepmind.com/blog/article/muzero-mastering-go-chess-shogi-and-atari-without-rules 82 comments
[1908.04683] Is Deep Reinforcement Learning Really Superhuman on Atari? Leveling the playing field https://arxiv.org/abs/1908.04683 17 comments
https://worldmodels.github.io/ 10 comments
https://gym.openai.com/envs/#robotics 7 comments
Backpropagation - Wikipedia https://en.m.wikipedia.org/wiki/Backpropagation 6 comments
[1806.06923] Implicit Quantile Networks for Distributional Reinforcement Learning https://arxiv.org/abs/1806.06923 4 comments
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model https://alexlee-gk.github.io/slac/ 4 comments
Human-level control through deep reinforcement learning | Nature https://www.nature.com/articles/nature14236 3 comments
[2010.02193] Mastering Atari with Discrete World Models https://arxiv.org/abs/2010.02193 3 comments
Introducing PlaNet: A Deep Planning Network for Reinforcement Learning – Google AI Blog https://ai.googleblog.com/2019/02/introducing-planet-deep-planning.html 3 comments
[1803.10760] Unsupervised Predictive Memory in a Goal-Directed Agent https://arxiv.org/abs/1803.10760 2 comments
[1905.09272] Data-Efficient Image Recognition with Contrastive Predictive Coding https://arxiv.org/abs/1905.09272 1 comment
[1710.02298] Rainbow: Combining Improvements in Deep Reinforcement Learning https://arxiv.org/abs/1710.02298 0 comments
Evaluating Design Trade-offs in Visual Model-Based Reinforcement Learning – Google AI Blog https://ai.googleblog.com/2021/02/evaluating-design-trade-offs-in-visual.html 0 comments
Simulated Policy Learning in Video Models – Google AI Blog https://ai.googleblog.com/2019/03/simulated-policy-learning-in-video.html 0 comments
Plan2Explore: Active Model-Building for Self-Supervised Visual Reinforcement Learning – The Berkeley Artificial Intelligence Research Blog https://bair.berkeley.edu/blog/2020/10/06/plan2explore/ 0 comments
Introducing Dreamer: Scalable Reinforcement Learning Using World Models – Google AI Blog https://ai.googleblog.com/2020/03/introducing-dreamer-scalable.html 0 comments
Advancing Self-Supervised and Semi-Supervised Learning with SimCLR – Google AI Blog https://ai.googleblog.com/2020/04/advancing-self-supervised-and-semi.html 0 comments
Dopamine 2.0: providing more flexibility in reinforcement learning research | Google Open Source Blog https://opensource.googleblog.com/2019/02/dopamine-2.0.html 0 comments
One-hot - Wikipedia https://en.wikipedia.org/wiki/One-hot 0 comments