Hacker News
Lobsters
- OpenAI Five [5v5 Dota 2 bots] https://blog.openai.com/openai-five/ 103 comments programming
- OpenAI's new Dota2 Bot beats amateur players in team play https://blog.openai.com/openai-five/ 20 comments artificial
- OpenAI DoTA update: PPO LSTM reaches amateur-level 5x5 DoTA via self-play (256 GPUs/128k CPU, 65000x realtime), highly parallelized framework called 'Rapid'; no hierarchical or abstraction for long-term planning https://blog.openai.com/openai-five/ 17 comments reinforcementlearning
Linking pages
- Learning Dexterity https://blog.openai.com/learning-dexterity/ 160 comments
- OpenAI Five Benchmark: Results https://blog.openai.com/openai-five-benchmark-results/ 123 comments
- OpenAI Five Benchmark https://blog.openai.com/openai-five-benchmark 94 comments
- Reinforcement learning’s foundational flaw https://thegradient.pub/why-rl-is-flawed/ 55 comments
- Learning Montezuma's Revenge from a Single Demonstration https://blog.openai.com/learning-montezumas-revenge-from-a-single-demonstration/ 48 comments
- AI bots trained for 180 years a day to beat humans at Dota 2 - The Verge https://www.theverge.com/2018/6/25/17492918/openai-dota-2-bot-ai-five-5v5-matches 33 comments
- The Promise of Hierarchical Reinforcement Learning https://thegradient.pub/the-promise-of-hierarchical-reinforcement-learning/ 25 comments
- Mastering Atari, Go, chess and shogi by planning with a learned model | Nature https://www.nature.com/articles/s41586-020-03051-4 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
- Neural MMO: A Massively Multiagent Game Environment https://blog.openai.com/neural-mmo/ 18 comments
- Introducing a New Framework for Flexible and Reproducible Reinforcement Learning Research – Google AI Blog https://ai.googleblog.com/2018/08/introducing-new-framework-for-flexible.html 17 comments
- How AI Training Scales https://blog.openai.com/science-of-ai/ 15 comments
- AI smashes humans beings at DOTA 2, again - CNET https://www.cnet.com/news/an-ai-just-smashed-humans-beings-at-dota-2-open-ai-twitch/ 10 comments
- Reinforcement Learning in the Wild and Lessons Learned | by Mohamad Charafeddine | Medium https://medium.com/@mohamadtweets/reinforcement-learning-in-the-wild-and-lessons-learned-c4b7aa04c3a5 5 comments
- Scaling Multi-Agent Reinforcement Learning – The Berkeley Artificial Intelligence Research Blog https://bair.berkeley.edu/blog/2018/12/12/rllib/ 2 comments
- Curiosity and Procrastination in Reinforcement Learning – Google AI Blog https://ai.googleblog.com/2018/10/curiosity-and-procrastination-in.html 1 comment
- An Open Source Tool for Scaling Multi-Agent Reinforcement Learning - RISE Lab https://rise.cs.berkeley.edu/blog/scaling-multi-agent-rl-with-rllib/ 1 comment
- Reinforcement Learning Progress - Sam Altman http://blog.samaltman.com/reinforcement-learning-progress 1 comment
- OpenAI Five intro https://blog.gregbrockman.com/openai-five-benchmark-intro 0 comments
- Neural MMO: A Massively Multiagent Game Environment https://openai.com/blog/neural-mmo/ 0 comments
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