2025
Efficient Active Imitation Learning with Random Network Distillation
ICLR 2025poster
Developing agents for complex and underspecified tasks, where no clear objective exists, remains challenging but offers many opportunities. This is especially true in video games, where simulated players (bots) need to play realistically, and there is no clear reward to evaluate them. While imitatio…