3.4k citations
- Google (United States)US81 papers
- Google (United Kingdom)GB59 papers
- Massachusetts Institute of TechnologyUS13 papers
- École Normale Supérieure - PSLFR10 papers
- Institut national de recherche en sciences et technologies du numériqueFR10 papers
- University College LondonGB10 papers
- University of OxfordGB10 papers
- University of TorontoCA10 papers
- McGill UniversityCA9 papers
- Imperial College LondonGB8 papers
- University of CambridgeGB8 papers
- Centre de Recherche en InformatiqueFR7 papers
4 papers · 2 filters
Discretization Drift in Two-Player Games
Mihaela Rosca, Yan Wu, Benoit Dherin +1
Gradient-based methods for two-player games produce rich dynamics that can solve challenging problems, yet can be difficult to stabilize and understand. Part of this complexity ori…
Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation
Xiaohui Chen, Xu Han, Jiajing Hu +2
A graph generative model defines a distribution over graphs. One type of generative model is constructed by autoregressive neural networks, which sequentially add nodes and edges t…
Model-Free Learning for Two-Player Zero-Sum Partially Observable Markov Games with Perfect Recall
Tadashi Kozuno, Pierre Ménard, Rémi Munos +1
We study the problem of learning a Nash equilibrium (NE) in an imperfect information game (IIG) through self-play. Precisely, we focus on two-player, zero-sum, episodic, tabular II…
NeRF-VAE: A Geometry Aware 3D Scene Generative Model
Adam R. Kosiorek, Heiko Strathmann, Daniel Zoran +4
We propose NeRF-VAE, a 3D scene generative model that incorporates geometric structure via NeRF and differentiable volume rendering. In contrast to NeRF, our model takes into accou…