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The Neural MMO v1.3 whitepaper is now on arXiv: http://arxiv.org/abs/2001.12004 pic.twitter.com/Z9wYuHdRfW
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Joseph Suarez proslijedio/la je Tweet
Got promoted to a full professor at CMU:) Thanks to my amazing students, collaborators, and my mentors. CMU is a remarkable place, but what makes it truly unique is its brilliant students! Hard to find a better place to do ML and AI.
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In the v1.2 release, I mentioned needing to solve a few research problems before making additional environment updates. I was referring to the IO system, which now provides a much smoother API. If you found the platform a bit complex in v1.2, now is a great time to dive back in!
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NMMO is an open-source massively multiagent game environment for AI research. v1.3 is the third major update. Highlights: Standardized, streamlined libraries for interfacing with the game’s rich hierarchical IO spaces, trained prebuilt models, tutorials and documentation
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Neural MMO v1.3 is finally live! Project Page: https://jsuarez5341.github.io v1.3 Whitepaper: https://jsuarez5341.github.io/neural-mmo/build/html/_downloads/3cd7722d5cc9e4be13e54868ee7dafe1/nmmo_v1-3.pdf … Demo Video: https://youtube.com/watch?v=DkHopV1RSxw … Update Slides: https://docs.google.com/presentation/d/1tqm_Do9ph-duqqAlx3r9lI5Nbfb9yUfNEtXk1Qo4zSw/edit?usp=sharing … Community Discord: https://discord.gg/BkMmFUC pic.twitter.com/D3whQPK3W0
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Joseph Suarez proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Joseph Suarez proslijedio/la je Tweet
What if we see level generation as a game, where each action changes the level in some way? Well, we could use RL to learn to "play" level generation! We introduce Procedural Content Generation via Reinforcement Learning (PCGRL), a new paradigm for PCG. https://arxiv.org/abs/2001.09212 pic.twitter.com/J9c8O5EIM7
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Joseph Suarez proslijedio/la je Tweet
I am extremely excited to announce (1) I've joined OpenAI to lead a large-scale effort into AI-generating Algorithms research, & (2) I'll be an Associate CS Professor at U. British Columbia in 2021, where I will continue to lead the OpenAI project. Both are dreams come true! 1/2pic.twitter.com/VLsGSTtj8Z
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Lots to learn from this work -- Thank you for making it publichttps://twitter.com/OpenAI/status/1205541134925099008 …
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Joseph Suarez proslijedio/la je Tweet
Our 1st seminar hosted entirely in VR :) watch live stream at 16:30 GMT. Speakers list >
@jsuarez5341 the creator of@OpenAI's Neural MMO >@KarelHulec co-founder of@neos_vr >@guillefix will introduce one of OxAI’s most ambitious research projects - Vraipic.twitter.com/TMH7TvbvU9
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Joseph Suarez proslijedio/la je Tweet
We're releasing Safety Gym, environments and tools to evaluate reinforcement learning with safety constraints: https://openai.com/blog/safety-gym/ … Aims to ultimately help agents satisfy real-world safety requirements while training (eg not driving off a cliff, not writing abusive content).pic.twitter.com/VTwS4KoFS1
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I do not want to give this undue attention, but it is important that public perception of the good research at
@OpenAI be aligned with reality. As such, I've posted a correction to the slide that has been circulating over the past couple of days. https://twitter.com/jsuarez5341/status/1186429275492061184 …pic.twitter.com/siGU3fWkHB
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OpenAI's title is spot on. That is a robot hand. It solves a Rubik's cube. Details of what parts are learned are given in the blog post. A few of the criticisms here (one object, extra sensors) are factually incorrect, and the blog post presents proper discussion of the rest.https://twitter.com/GaryMarcus/status/1185679169360809984 …
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Joseph Suarez proslijedio/la je Tweet
We've trained an AI system to solve the Rubik's Cube with a human-like robot hand. This is an unprecedented level of dexterity for a robot, and is hard even for humans to do. The system trains in an imperfect simulation and quickly adapts to reality: https://openai.com/blog/solving-rubiks-cube/ …pic.twitter.com/8lGhU2pPck
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Joseph Suarez proslijedio/la je Tweet
We've observed AIs discovering complex tool use while competing in a simple game of hide-and-seek. They develop a series of six distinct strategies and counterstrategies, ultimately using tools in the environment to break our simulated physics:https://openai.com/blog/emergent-tool-use …
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Joseph Suarez proslijedio/la je Tweet
Facebook AI is open sourcing MiniRTSv2, a real-time strategy game designed to test and evaluate a range of AI techniques related to reinforcement learning, hierarchical decision-making and natural language processing. https://ai.facebook.com/blog/-teaching-ai-to-plan-using-language-in-a-new-open-source-strategy-game/ …pic.twitter.com/UQyXgtXYhq
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v1.3 will continue expanding on the base created by v1.0-v1.2 -- More environment features, more infra upgrades, etc. However, I've also encountered a few research problems along the way that I may need to solve before some such plans are feasible. More about that on the Discord.
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