1k citations · 1.8k across the 17 of their papers we have counts for
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cs.AI2017★ 23 cited
Meta-Learning MCMC Proposals
Tongzhou Wang, Yi Wu, David A. Moore +1
Effective implementations of sampling-based probabilistic inference often require manually constructed, model-specific proposals. Inspired by recent progresses in meta-learning for…
cs.LG2017★ 1k cited
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Ryan Lowe, Yi Wu, Aviv Tamar +3
We explore deep reinforcement learning methods for multi-agent domains. We begin by analyzing the difficulty of traditional algorithms in the multi-agent case: Q-learning is challe…