trajectory learning

ActionStudio: A Lightweight Framework for Data and Training of Large Action Models EMNLP 2025 AndroidGen: Building an Android Language Agent under Data Scarcity ACL 2025 Learning Strategy Representation for Imitation Learning in Multi-Agent Games AAAI 2025 NAT: Enhancing Agent Tuning with Negative Samples NAACL 2025 Synergistic Multi-Agent Framework with Trajectory Learning for Knowledge-Intensive Tasks AAAI 2025 Teaching Text Agents to Learn Sequential Decision Making from Failure ACL 2025 TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories IJCAI 2025 Experiential Co-Learning of Software-Developing Agents ACL 2024 Generalize for Future: Slow and Fast Trajectory Learning for CTR Prediction AAAI 2024 In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before an Ongoing Trajectory Terminates NeurIPS 2024 Generating Language Corrections for Teaching Physical Control Tasks ICML 2023 Dungeons and Data: A Large-Scale NetHack Dataset NeurIPS 2022 Leaping through Time with Gradient-Based Adaptation for Recommendation AAAI 2022 Learning Dynamical Systems with Side Information L4DC 2020 Generalized Cylinders for Learning, Reproduction, Generalization, and Refinement of Robot Skills RSS 2017 Efficient Reductions for Imitation Learning AISTATS 2010 Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks NeurIPS 2009