POLYNOMIAL-TIME COMPUTATION OF OPTIMAL CORRELATED EQUILIBRIA IN TWO-PLAYER EXTENSIVE-FORM GAMES WITH PUBLIC CHANCE MOVES AND BEYOND

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 24 of 27
1. Verfasser: Farina, Gabriele (VerfasserIn)
Weitere Verfasser: Sandholm, Tuomas (VerfasserIn)
Pages:34
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2021
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
PROVABLY ROBUST METRIC LEARNING 2021 Wang, Lu
RETHINKING THE VALUE OF LABELS FOR IMPROVING CLASS-IMBALANCED LEARNING 2021 Yang, Yuzhe
COPT: COORDINATED OPTIMAL TRANSPORT ON GRAPHS 2021 Dong, Yihe
NEAR-OPTIMAL COMPARISON BASED CLUSTERING 2021 Perrot, Michael
TAYLORGAN: NEIGHBOR-AUGMENTED POLICY UPDATE TOWARDS SAMPLE-EFFICIENT NATURAL LANGUAGE GENERATION 2021 Lin, Chun-Hsing
A NEW CONVERGENT VARIANT OF Q-LEARNING WITH LINEAR FUNCTION APPROXIMATION 2021 Carvalho, Diogo
DUAL-FREE STOCHASTIC DECENTRALIZED OPTIMIZATION WITH VARIANCE REDUCTION 2021 Hendrikx, Hadrien
ONLINE LEARNING IN CONTEXTUAL BANDITS USING GATED LINEAR NETWORKS 2021 Sezener, Eren
UNIFYING ACTIVATION- AND TIMING-BASED LEARNING RULES FOR SPIKING NEURAL NETWORKS 2021 Kim, Jinseok
SPACE-TIME CORRESPONDENCE AS A CONTRASTIVE RANDOM WALK 2021 Jabri, Allan
AN EFFICIENT FRAMEWORK FOR CLUSTERED FEDERATED LEARNING 2021 Ghosh, Avishek
HYDRA: PRUNING ADVERSARIALLY ROBUST NEURAL NETWORKS 2021 Sehwag, Vikash
COUNTERFACTUAL PREDICTION FOR BUNDLE TREATMENT 2021 Zou, Hao
WHAT DO NEURAL NETWORKS LEARN WHEN TRAINED WITH RANDOM LABELS? 2021 Maennel, Hartmut
BETA EMBEDDINGS FOR MULTI-HOP LOGICAL REASONING IN KNOWLEDGE GRAPHS 2021 Ren, Hongyu
CAN TEMPORAL-DIFFERENCE AND Q-LEARNING LEARN REPRESENTATION? A MEAN-FIELD THEORY 2021 Zhang, Yufeng
WISDOM OF THE ENSEMBLE: IMPROVING CONSISTENCY OF DEEP LEARNING MODELS 2021 Wang, Lijing
UNIVERSAL FUNCTION APPROXIMATION ON GRAPHS 2021 Gabrielsson, Rickard Brüel
COMPARATOR-ADAPTIVE CONVEX BANDITS 2021 Hoeven, Dirk Van Der
MODEL-BASED REINFORCEMENT LEARNING FOR SEMI-MARKOV DECISION PROCESSES WITH NEURAL ODES 2021 Du, Jianzhun
Alle Artikel auflisten