7 datasets found

The IIRC-CIFAR dataset is a benchmark for evaluating models in the Incremental Implicitly-Refined Classification (IIRC) setup.

The IIRC dataset is a benchmark for evaluating models in the Incremental Implicitly-Refined Classification (IIRC) setup.

The authors propose a lifelong RL approach that learns a hyper-policy, whose input is time, that outputs the parameters of the policy to be queried at that time.

The CT-graph and Minigrid environments are used to evaluate lifelong reinforcement learning approaches.

A unique cognitive capability of humans consists in their ability to acquire new knowledge and skills from a sequence of experiences. Meanwhile, artificial intelligence systems...

Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction.

The dataset used in this paper is a reinforcement learning dataset, specifically the SimpleQuestion dataset, which contains questions answerable using Wikidata as the knowledge...