Showing 1–20 of 230 results
/ Date/ Name
Sep 17, 2019Emergent Tool Use From Multi-Agent AutocurriculaSep 28, 2018Learning and Planning with a Semantic ModelOct 16, 2020Unsupervised Extractive Summarization by Pre-training Hierarchical TransformersFeb 3, 2023Learning Zero-Shot Cooperation with Humans, Assuming Humans Are BiasedMar 18, 2024Infinite-ID: Identity-preserved Personalization via ID-semantics Decoupling ParadigmOct 29, 2023Language Agents with Reinforcement Learning for Strategic Play in the Werewolf GameNov 8, 2021Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent ProblemsJun 6, 2018Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference AlgorithmsJul 20, 2022Multi-Task Learning for Emotion Descriptors Estimation at the fourth ABAW ChallengeNov 16, 2023Evolving Domain Adaptation of Pretrained Language Models for Text ClassificationJan 7, 2018Building Generalizable Agents with a Realistic and Rich 3D EnvironmentNov 14, 2024A Risk Sensitive Contract-unified Reinforcement Learning Approach for Option HedgingMar 29, 2016Towards Practical Bayesian Parameter and State EstimationAug 21, 2017Meta-Learning MCMC ProposalsSep 28, 2024SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language ModelsMar 13, 2025Proxy-Tuning: Tailoring Multimodal Autoregressive Models for Subject-Driven Image GenerationApr 22, 2024PM-VIS: High-Performance Box-Supervised Video Instance SegmentationFeb 11, 2022Understanding Curriculum Learning in Policy Optimization for Online Combinatorial OptimizationSep 10, 2019Bayesian Relational Memory for Semantic Visual NavigationMar 23, 2020Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning