Justin Jung

Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning

Exploration in sparse-reward reinforcement learning (RL) is difficult due to the need for long, coordinated sequences of actions in order to achieve any reward. Skill learning, from demonstrations or interaction, is a promising approach to address this, but skill extraction and inference are expensi…