Stackelberg Games for Learning Emergent Behaviors During Competitive Autocurricula
Boling Yang,Liyuan Zheng,Lillian J. Ratliff,Byron Boots,Joshua R. Smith,Boling Yang,Liyuan Zheng,Lillian J. Ratliff,Byron Boots,Joshua R. Smith
Autocurricular training is an important sub-area of multi-agent reinforcement learning (MARL) that allows multiple agents to learn emergent skills in an unsupervised co-evolving scheme. The robotics community has experimented auto-curricular training with physically grounded problems, such as robust control and interactive manipulation tasks. However, the asymmetric nature of these tasks makes the...
