Projected Task-Specific Layers for Multi-Task Reinforcement Learning
Josselin Somerville Roberts,Julia Di,Josselin Somerville Roberts,Julia Di
Multi-task reinforcement learning could enable robots to scale across a wide variety of manipulation tasks in homes and workplaces. However, generalizing from one task to another and mitigating negative task interference still remains a challenge. Addressing this challenge by successfully sharing information across tasks will depend on how well the structure underlying the tasks is captured. In th...
