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Improving GANs using optimal transport
Improving GANs using optimal transport. OpenAI News - artificial intelligence news.
On first-order meta-learning algorithms
On first-order meta-learning algorithms. OpenAI News - artificial intelligence news.
Reptile: A scalable meta-learning algorithm
We’ve developed a simple meta-learning algorithm called Reptile which works by repeatedly sampling a task,…
Some considerations on learning to explore via meta-reinforcement learning
Some considerations on learning to explore via meta-reinforcement learning. OpenAI News - artificial…
Multi-Goal Reinforcement Learning: Challenging robotics environments and request for research
Multi-Goal Reinforcement Learning: Challenging robotics environments and request for research. OpenAI News -…
Ingredients for robotics research
We’re releasing eight simulated robotics environments and a Baselines implementation of Hindsight…
Preparing for malicious uses of AI
We’ve co-authored a paper that forecasts how malicious actors could misuse AI technology, and potential…
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.