2021
Environment Generation for Zero-Shot Compositional Reinforcement Learning
NeurIPS 2021poster
Many real-world problems are compositional – solving them requires completing interdependent sub-tasks, either in series or in parallel, that can be represented as a dependency graph. Deep reinforcement learning (RL) agents often struggle to learn such complex tasks due to the long time horizons and…