We’re releasing a Neural MMO, a massively multiagent game environment for reinforcement learning agents. Our platform supports a large, variable number of agents within a persistent and open-ended task. The inclusion of many agents and species leads to…
On February 2, we held our first Spinning Up Workshop as part of our new education initiative at OpenAI.
Github repo here: https://github.com/ericjang/maml-jax
Adaptive behavior in humans and animals occurs at many time scales: when I use a new shower handle for the first time, it takes me a few seconds to figure out how to adjust the water temperat…
If we want to train AI to do what humans want, we need to study humans.
We’ve written a paper arguing that long-term AI safety research needs social scientists to ensure AI alignment algorithms succeed when actual humans are involved. Properly aligning advanced AI systems with human values requires resolving many uncertain…
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PlaNet learns a world model from image inputs only and successfully leverages it for planning in latent space.
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GitHub
Redirecting to planetrl.github.io, where the article resides.
We’ve trained a large-scale unsupervised language model which generates coherent paragraphs of text, achieves state-of-the-art performance on many language modeling benchmarks, and performs rudimentary reading comprehension, machine translation, questi…
Some thoughts on the interesting BagNet paper (accepted at ICLR 2019) currently being circulated around the Machine Learning Twitter Community.
Disclaimer: I wasn’t a reviewer of this paper for ICLR. I think it was worthy of acceptance to the c…
[Updated on 2019-02-14: add ULMFiT and GPT-2.]
[Updated on 2020-02-29: add ALBERT.]
[Updated on 2020-10-25: add RoBERTa.]
[Updated on 2020-12-13: add T5.]
[Updated on 2020-12-30: add GPT-3.]
[Updated on 2021-11-13: add XLNet, BART and ELECTRA; Also up…