73 citations · 113 across the 4 of their papers we have counts for
3 papers · 1 filter
Modular Adaptive Policy Selection for Multi-Task Imitation Learning through Task Division
Dafni Antotsiou, Carlo Ciliberto, Tae-Kyun Kim
Deep imitation learning requires many expert demonstrations, which can be hard to obtain, especially when many tasks are involved. However, different tasks often share similarities…
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning
Jianhong Wang, Yuan Zhang, Yunjie Gu +1
Value factorisation is a useful technique for multi-agent reinforcement learning (MARL) in global reward game, however its underlying mechanism is not yet fully understood. This pa…
Shapley Q-value: A Local Reward Approach to Solve Global Reward Games
Jianhong Wang, Yuan Zhang, Tae-Kyun Kim +1
Cooperative game is a critical research area in the multi-agent reinforcement learning (MARL). Global reward game is a subclass of cooperative games, where all agents aim to maximi…