Abstract The Option Keyboard (OK) was recently proposed as a method for transferring
behavioral knowledge across tasks. OK transfers knowledge by adaptively combining …

Animals have a developed ability to explore that aids them in important tasks such as
locating food, exploring for shelter, and finding misplaced items. These exploration skills …

For zero-shot transfer in reinforcement learning where the reward function varies between
different tasks, the successor features framework has been one of the popular approaches …

In inverse reinforcement learning (IRL), an agent seeks to replicate expert demonstrations
through interactions with the environment. Traditionally, IRL is treated as an adversarial …

Reinforcement learning (RL) can enable sequential decision-making in complex and high-
dimensional environments if the acquisition of a new state-action pair is efficient, ie, when …

A machine learning (ML) system must learn not only to match the output of a target function
on a training set, but also to generalize to novel situations in order to yield accurate …

Many researchers in the field of deep learning have been trying to build agents that perform
a wide range of tasks. Since training on all the possible tasks is often not viable, improving …