Kai Wang
with Fang · 2019
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Kai Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Kai Wang's perspective
Ordered by how strongly the researchers Kai Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
- Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability
- Deep Reinforcement Learning from Self-Play in Imperfect-Information Games
- Fictitious Self-Play in Extensive-Form Games
- ON THE GLOBAL CONVERGENCE OF STOCHASTIC FICTITIOUS PLAY
- Deep Directed Generative Models with Energy-Based Probability Estimation
- TarMAC: Targeted Multi-Agent Communication
- Reinforcement Learning: An Introduction
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Deep Fictitious Play for Games with Continuous Action Spaces (2019) — 9 citations