Hacker News
- Evolution Strategies as a Scalable Alternative to Reinforcement Learning https://blog.openai.com/evolution-strategies/ 25 comments
- Questions about my bsc thesis work https://blog.openai.com/evolution-strategies/ 4 comments artificial
- OpenAI depevloped evolution strategies as a scalable, faster and easier alternative to Reinforcement Learning https://blog.openai.com/evolution-strategies/ 3 comments technology
- "Evolution Strategies as a Scalable Alternative to Reinforcement Learning" [OpenAI discussion of recent paper, Salimans et al 2017, using neuroevolution for scalable RL] https://blog.openai.com/evolution-strategies/ 3 comments reinforcementlearning
Linking pages
- Nonlinear Computation in Deep Linear Networks https://blog.openai.com/nonlinear-computation-in-linear-networks/ 32 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
- A Visual Guide to Evolution Strategies | 大トロ http://blog.otoro.net/2017/10/29/visual-evolution-strategies/ 21 comments
- OpenAI Just Beat Google DeepMind at Atari With an Algorithm From the 80s https://singularityhub.com/2017/04/06/openai-just-beat-the-hell-out-of-deepmind-with-an-algorithm-from-the-80s/ 15 comments
- A (Long) Peek into Reinforcement Learning | Lil'Log https://lilianweng.github.io/posts/2018-02-19-rl-overview/ 8 comments
- Beating Atari Games with OpenAI's Evolutionary Strategies https://blog.filestack.com/thoughts-and-knowledge/atari-openai-evolutionary-strategies/ 6 comments
- GitHub - MaxHalford/eaopt: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution) https://github.com/maxhalford/eaopt 5 comments
- Our NIPS 2017: Learning to Run approach | by Adam Stelmaszczyk | ML Review https://medium.com/@stelmaszczykadam/our-nips-2017-learning-to-run-approach-b80a295d3bb5 4 comments
- Evolved Policy Gradients https://blog.openai.com/evolved-policy-gradients/ 4 comments
- GitHub - mdibaiee/flappy-es: Flappy Bird AI using Evolution Strategies https://github.com/mdibaiee/flappy-es 3 comments
- Playing Atari with deep reinforcement learning - deepsense.ai’s approach - deepsense.ai https://deepsense.ai/playing-atari-with-deep-reinforcement-learning-deepsense-ais-approach/ 3 comments
- Evolving Stable Strategies | 大トロ http://blog.otoro.net/2017/11/12/evolving-stable-strategies/ 1 comment
- Massively Parallel Hyperparameter Optimization on AWS Lambda | by Michael Hart | Medium https://medium.com/@hichaelmart/massively-parallel-hyperparameter-optimization-on-aws-lambda-a7a24b1970c8 1 comment
- AI in 2018 for researchers. Ciao everyone! 2017 was one of the most… | by Alex Honchar | Good Audience http://medium.com/@alexrachnog/ai-in-2018-for-researchers-8955df0caaf9 0 comments
- AI in 2018 for researchers. Ciao everyone! 2017 was one of the most… | by Alex Honchar | Good Audience https://blog.goodaudience.com/ai-in-2018-for-researchers-8955df0caaf9 0 comments
- Berkeley Deep RL Bootcamp http://planspace.org/20170830-berkeley_deep_rl_bootcamp/ 0 comments
- Gradient descent vs. neuroevolution | by Lars Hulstaert | Towards Data Science https://towardsdatascience.com/gradient-descent-vs-neuroevolution-f907dace010f?gi=5fe59397195b 0 comments
- Deep Reinforcement Learning http://planspace.org/20171114-deep_rl/ 0 comments
- Better Exploration with Parameter Noise https://openai.com/blog/better-exploration-with-parameter-noise/ 0 comments
- Dissecting Reinforcement Learning-Part.5 https://mpatacchiola.github.io/blog/2017/03/14/dissecting-reinforcement-learning-5.html 0 comments
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