
Putting the I back in IDE: Towards a Github Explorer
A system for editing and reviewing code that puts the I back in IDE.

Managing Unplanned and Support Tasks
A blogpost about a process for managing unplanned and support tasks to minimize interruptions and allocate more time to planned features.

Variance reduction for policy gradient with action-dependent factorized baselines
Optimizing policy gradient efficiency with action-dependent factorized baselines

Improving GANs using optimal transport
Enhancing GANs performance through optimal transport techniques

Report from the OpenAI hackathon
Insights and Highlights from the OpenAI hackathon

On first-order meta-learning algorithms
Exploring the advancements in first-order meta-learning algorithms

Reptile: A scalable meta-learning algorithm
Exploring the efficiency of Reptile, a scalable meta-learning algorithm

OpenAI Scholars
Exploring the impact and opportunities of OpenAI Scholars program in AI field.

Some considerations on learning to explore via meta-reinforcement learning
Exploring the potential of meta-reinforcement learning in enhancing learning through exploration.

Multi-Goal Reinforcement Learning: Challenging robotics environments and request for research
Exploring multi-goal reinforcement learning in challenging robotics environments with a call for further research

Ingredients for robotics research
Exploring essential components for advancing robotics research

OpenAI hackathon
Exploring cutting-edge AI solutions in the OpenAI hackathon