Showing 1–20 of 89 results
/ Date/ Name
Oct 5, 2022Option-Aware Adversarial Inverse Reinforcement Learning for Robotic ControlDec 1, 2022A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point ProcessApr 23, 2025Hierarchical Distributed Architecture for the Least Allan Variance Atomic TimingMay 26, 2024Variational Offline Multi-agent Skill DiscoverySep 29, 2025JuggleRL: Mastering Ball Juggling with a Quadrotor via Deep Reinforcement LearningAug 28, 2025Bootstrap Policy Iteration for Stochastic LQ Tracking with Multiplicative NoiseApr 18, 2025Hysteresis-Aware Neural Network Modeling and Whole-Body Reinforcement Learning Control of Soft RobotsNov 8, 2021Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent ProblemsOct 7, 2022Multi-agent Deep Covering Skill DiscoveryFeb 21, 2024Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future DirectionsMay 19, 2025Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement LearningOct 15, 2024Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement LearningFeb 26, 2026ToProVAR: Efficient Visual Autoregressive Modeling via Tri-Dimensional Entropy-Aware Semantic Analysis and Sparsity OptimizationJul 21, 2023Scalable Multi-agent Covering Option Discovery based on Kronecker GraphsMar 5, 2021DeepFreight: Integrating Deep Reinforcement Learning and Mixed Integer Programming for Multi-transfer Truck Freight DeliveryDec 16, 2024What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive StudySep 24, 2024Online Planning for Multi-UAV Pursuit-Evasion in Unknown Environments Using Deep Reinforcement LearningOct 7, 2023Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum LearningMay 27, 2023Hierarchical Deep Counterfactual Regret MinimizationApr 13, 2026AIM: Intent-Aware Unified world action Modeling with Spatial Value Maps