3 articles
OpenAI releases Evolved Policy Gradients (EPG), a metalearning approach that evolves the loss function of learning agents. EPG-trained agents generalize to novel tasks unseen during training, such as navigating to objects placed on different sides of a room.
OpenAI introduces a new benchmark to evaluate generalization in reinforcement learning. The tool measures RL agents' ability to adapt to novel and varied environments beyond their training data.
OpenAI launches a transfer learning contest measuring a reinforcement learning algorithm's ability to generalize from previous experience.