- "World Models: Can agents learn inside their own dreams?", Ha & Schmidhuber 2018 {GB/NNAISENSE} [planning & learning in deep environment model; in-browser JS demos for Car Racing/VizDoom] https://worldmodels.github.io/ 9 comments reinforcementlearning
Linking pages
- When algorithms surprise us - AI WeirdnessCommentShareCommentShare https://aiweirdness.com/post/172894792687/when-algorithms-surprise-us 25 comments
- Reinforcement Learning from scratch | by Emmanuel Ameisen | Insight https://blog.insightdatascience.com/reinforcement-learning-from-scratch-819b65f074d8 25 comments
- GitHub - andri27-ts/Reinforcement-Learning: Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning https://github.com/andri27-ts/60_Days_RL_Challenge 22 comments
- Nvidia’s AI recreates Pac-Man from scratch just by watching it being played - The Verge https://www.theverge.com/2020/5/22/21266251/nvidia-ai-gamegan-recreate-pac-man-virutal-environment 16 comments
- World Models (the long version) - ADG Efficiency https://adgefficiency.com/world-models/ 10 comments
- Dreaming about driving - autonomous vehicles https://wayve.ai/blog/dreaming-about-driving-imagination-rl 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
- Visual Model-Based Reinforcement Learning as a Path towards Generalist Robots – The Berkeley Artificial Intelligence Research Blog https://bair.berkeley.edu/blog/2018/11/30/visual-rl/ 2 comments
- Alignment and emotions for humans and AI | Aleph Alpha Blog https://medium.com/aleph-alpha-blog/alignment-and-emotions-for-humans-and-ai-fe05f2da9a73 0 comments
- World Models Experiments | 大トロ http://blog.otoro.net/2018/06/09/world-models-experiments/ 0 comments
- Mastering Atari with Discrete World Models – Google AI Blog https://ai.googleblog.com/2021/02/mastering-atari-with-discrete-world.html 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
- GitHub - LukeWood/keras-genetic https://github.com/lukewood/keras-genetic 0 comments
- Using Selective Attention in Reinforcement Learning Agents – Google AI Blog https://ai.googleblog.com/2020/06/using-selective-attention-in.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
- World Models in TensorFlow — Episode 1.0 — OpenAi Gym Race Car | by Dario Cazzani | Towards Data Science https://medium.com/@dariocazzani/world-models-in-tensorflow-episode-1-2b3c217ebc8f 0 comments
- Teaching agents to paint inside their own dreams | reiinakano’s blog https://reiinakano.github.io/2019/01/27/world-painters.html 0 comments
- How to run evolution strategies on Google Kubernetes Engine | Google Cloud Blog https://cloud.google.com/blog/products/ai-machine-learning/how-to-run-evolution-strategies-on-google-kubernetes-engine 0 comments
- Probabilistic Model-Based Reinforcement Learning Using The Differentiable Neural Computer – Adeel's Corner http://blog.adeel.io/2018/09/10/probabilistic-model-based-reinforcement-learning-using-the-differentiable-neural-computer/ 0 comments
- Hallucinogenic Deep Reinforcement Learning Using Python and Keras | by David Foster | Applied Data Science | Medium https://medium.com/applied-data-science/how-to-build-your-own-world-model-using-python-and-keras-64fb388ba459 0 comments