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Retro Contest: Results
The first run of our Retro Contest—exploring the development of algorithms that can generalize from…
Learning policy representations in multiagent systems
Learning policy representations in multiagent systems. OpenAI News - artificial intelligence news.
Improving language understanding with unsupervised learning
We’ve obtained state-of-the-art results on a suite of diverse language tasks with a scalable, task-agnostic…
GamePad: A learning environment for theorem proving
GamePad: A learning environment for theorem proving. OpenAI News - artificial intelligence news.
AI and compute
We’re releasing an analysis showing that since 2012, the amount of compute used in the largest AI training…
AI safety via debate
We’re proposing an AI safety technique which trains agents to debate topics with one another, using a human…
Evolved Policy Gradients
We’re releasing an experimental metalearning approach called Evolved Policy Gradients, a method that…
Gotta Learn Fast: A new benchmark for generalization in RL
Gotta Learn Fast: A new benchmark for generalization in RL. OpenAI News - artificial intelligence news.
Retro Contest
We’re launching a transfer learning contest that measures a reinforcement learning algorithm’s ability to…
Variance reduction for policy gradient with action-dependent factorized baselines
Variance reduction for policy gradient with action-dependent factorized baselines. OpenAI News - artificial…
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.