activity
20172026
most citedA Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning

12 citations · 25 across the 11 of their papers we have counts for

collaborators
Showing 2019Show all

2 papers · 1 filter

cs.LG2019

Policy Distillation and Value Matching in Multiagent Reinforcement Learning

Samir Wadhwania, Dong-Ki Kim, Shayegan Omidshafiei +1

Multiagent reinforcement learning algorithms (MARL) have been demonstrated on complex tasks that require the coordination of a team of multiple agents to complete. Existing works h…

cs.LG2019★ 8 cited

Learning Hierarchical Teaching Policies for Cooperative Agents

Dong-Ki Kim, Miao Liu, Shayegan Omidshafiei +7

Collective learning can be greatly enhanced when agents effectively exchange knowledge with their peers. In particular, recent work studying agents that learn to teach other teamma…