Hacker News
- Reinforcement learning’s foundational flaw https://thegradient.pub/why-rl-is-flawed/ 6 comments artificial
Linking pages
- The Promise of Hierarchical Reinforcement Learning https://thegradient.pub/the-promise-of-hierarchical-reinforcement-learning/ 25 comments
- How to fix reinforcement learning https://thegradient.pub/how-to-fix-rl/ 3 comments
- Reinforcement learning without gradients: evolving agents using Genetic Algorithms | by Paras Chopra | Towards Data Science https://towardsdatascience.com/reinforcement-learning-without-gradients-evolving-agents-using-genetic-algorithms-8685817d84f 0 comments
- Avoiding Moravec’s Paradox Solves AGI in Five Years | by Carlos E. Perez | Intuition Machine | Medium https://medium.com/intuitionmachine/near-term-agi-should-be-considered-as-a-possibility-9bcf276f9b16 0 comments
Linked pages
- https://deepmind.com/blog/alphago-zero-learning-scratch/ 408 comments
- The limitations of deep learning https://blog.keras.io/the-limitations-of-deep-learning.html 289 comments
- OpenAI Five https://blog.openai.com/openai-five/ 272 comments
- The Limits of Artificial Intelligence and Deep Learning | WIRED https://www.wired.com/story/greedy-brittle-opaque-and-shallow-the-downsides-to-deep-learning/ 149 comments
- Competitive Self-Play https://blog.openai.com/competitive-self-play/ 138 comments
- Ghost: The Creator Economy Platform https://ghost.org 100 comments
- Dota 2 https://blog.openai.com/dota-2/ 87 comments
- Learning Montezuma's Revenge from a Single Demonstration https://blog.openai.com/learning-montezumas-revenge-from-a-single-demonstration/ 48 comments
- [1712.06567] Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning https://arxiv.org/abs/1712.06567 47 comments
- Deep Learning, Structure and Innate Priors | Abigail See http://www.abigailsee.com/2018/02/21/deep-learning-structure-and-innate-priors.html 35 comments
- [1604.00289] Building Machines That Learn and Think Like People https://arxiv.org/abs/1604.00289 22 comments
- [1703.03864] Evolution Strategies as a Scalable Alternative to Reinforcement Learning https://arxiv.org/abs/1703.03864 12 comments
- [1704.05539] Beating Atari with Natural Language Guided Reinforcement Learning https://arxiv.org/abs/1704.05539 12 comments
- Home – Skynet Today https://www.skynettoday.com/ 11 comments
- Expert system - Wikipedia https://en.wikipedia.org/wiki/Expert_system 5 comments
- [1803.07055] Simple random search provides a competitive approach to reinforcement learning https://arxiv.org/abs/1803.07055 4 comments
- How to fix reinforcement learning https://thegradient.pub/how-to-fix-rl/ 3 comments
- Deep Blue (chess computer) - Wikipedia https://en.wikipedia.org/wiki/Deep_Blue_(chess_computer) 3 comments
- Clues for Which I Search and Choose – arg min blog http://www.argmin.net/2018/03/20/mujocoloco/ 0 comments
- AlphaGo, in context. Update Oct 18, 2017: AlphaGo Zero was… | by Andrej Karpathy | Medium https://medium.com/@karpathy/alphago-in-context-c47718cb95a5 0 comments
Related searches:
Search whole site: site:thegradient.pub
Search title: Reinforcement learning’s foundational flaw
See how to search.