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OpenAI supporters
OpenAI supporters. OpenAI News - artificial intelligence news.
Interpretable machine learning through teaching
We’ve designed a method that encourages AIs to teach each other with examples that also make sense to…
Discovering types for entity disambiguation
We’ve built a system for automatically figuring out which object is meant by a word by having a neural…
Requests for Research 2.0
We’re releasing a new batch of seven unsolved problems which have come up in the course of our research…
Scaling Kubernetes to 2,500 nodes
Scaling Kubernetes to 2,500 nodes. OpenAI News - artificial intelligence news.
Block-sparse GPU kernels
We’re releasing highly-optimized GPU kernels for an underexplored class of neural network architectures:…
Learning sparse neural networks through L₀ regularization
Learning sparse neural networks through L₀ regularization. OpenAI News - artificial intelligence news.
Interpretable and pedagogical examples
Interpretable and pedagogical examples. OpenAI News - artificial intelligence news.
Learning a hierarchy
We’ve developed a hierarchical reinforcement learning algorithm that learns high-level actions useful for…
Generalizing from simulation
Our latest robotics techniques allow robot controllers, trained entirely in simulation and deployed on…
Asymmetric actor critic for image-based robot learning
Asymmetric actor critic for image-based robot learning. OpenAI News - artificial intelligence news.
Sim-to-real transfer of robotic control with dynamics randomization
Sim-to-real transfer of robotic control with dynamics randomization. OpenAI News - artificial intelligence…
Domain randomization and generative models for robotic grasping
Domain randomization and generative models for robotic grasping. OpenAI News - artificial intelligence news.
Meta-learning for wrestling
We show that for the task of simulated robot wrestling, a meta-learning agent can learn to quickly defeat a…
Competitive self-play
We’ve found that self-play allows simulated AIs to discover physical skills like tackling, ducking, faking,…
Nonlinear computation in deep linear networks
Nonlinear computation in deep linear networks. OpenAI News - artificial intelligence news.
Learning to model other minds
We’re releasing an algorithm which accounts for the fact that other agents are learning too, and discovers…
Learning with opponent-learning awareness
Learning with opponent-learning awareness. OpenAI News - artificial intelligence news.
OpenAI Baselines: ACKTR & A2C
We’re releasing two new OpenAI Baselines implementations: ACKTR and A2C. A2C is a synchronous,…
More on Dota 2
Our Dota 2 result shows that self-play can catapult the performance of machine learning systems from far…
Gathering human feedback
RL-Teacher is an open-source implementation of our interface to train AIs via occasional human feedback…
Better exploration with parameter noise
We’ve found that adding adaptive noise to the parameters of reinforcement learning algorithms frequently…
Proximal Policy Optimization
We’re releasing a new class of reinforcement learning algorithms, Proximal Policy Optimization (PPO), which…
Robust adversarial inputs
We’ve created images that reliably fool neural network classifiers when viewed from varied scales and…