most citedModel based Multi-agent Reinforcement Learning with Tensor Decompositions

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2021★ 3 cited

Model based Multi-agent Reinforcement Learning with Tensor Decompositions

Pascal Van Der Vaart, Anuj Mahajan, Shimon Whiteson

A challenge in multi-agent reinforcement learning is to be able to generalize over intractable state-action spaces. Inspired from Tesseract [Mahajan et al., 2021], this position pa…