Saved in:
| Main Authors: | Kasumba, Robert, Yu, Guanghui, Ho, Chien-Ju, Keren, Sarah, Yeoh, William |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2404.03054 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On the Utility of Accounting for Human Beliefs about AI Intention in Human-AI Collaboration
by: Yu, Guanghui, et al.
Published: (2024)
by: Yu, Guanghui, et al.
Published: (2024)
Early Prediction of Future Behavioral Strategy from Process Traces
by: Kasumba, Robert, et al.
Published: (2026)
by: Kasumba, Robert, et al.
Published: (2026)
Goal Recognition as Reinforcement Learning
by: Amado, Leonardo Rosa, et al.
Published: (2022)
by: Amado, Leonardo Rosa, et al.
Published: (2022)
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning
by: Gerstgrasser, Matthias, et al.
Published: (2023)
by: Gerstgrasser, Matthias, et al.
Published: (2023)
Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning
by: Azran, Guy, et al.
Published: (2023)
by: Azran, Guy, et al.
Published: (2023)
Comparing Traditional and Reinforcement-Learning Methods for Energy Storage Control
by: Ginzburg, Elinor, et al.
Published: (2025)
by: Ginzburg, Elinor, et al.
Published: (2025)
Goal Recognition using Actor-Critic Optimization
by: Nageris, Ben, et al.
Published: (2024)
by: Nageris, Ben, et al.
Published: (2024)
Adaptive Interventions with User-Defined Goals for Health Behavior Change
by: Mandyam, Aishwarya, et al.
Published: (2023)
by: Mandyam, Aishwarya, et al.
Published: (2023)
GRAIL: Goal Recognition Alignment through Imitation Learning
by: Elhadad, Osher, et al.
Published: (2026)
by: Elhadad, Osher, et al.
Published: (2026)
ODGR: Online Dynamic Goal Recognition
by: Shamir, Matan, et al.
Published: (2024)
by: Shamir, Matan, et al.
Published: (2024)
Mind the Gaps: Auditing and Reducing Group Inequity in Large-Scale Mobility Prediction
by: Kumar, Ashwin, et al.
Published: (2025)
by: Kumar, Ashwin, et al.
Published: (2025)
Goal-Conditioned Agents that Learn Everything All at Once
by: Matthews, Michael, et al.
Published: (2026)
by: Matthews, Michael, et al.
Published: (2026)
Reaching Consensus in Cooperative Multi-Agent Reinforcement Learning with Goal Imagination
by: Wang, Liangzhou, et al.
Published: (2024)
by: Wang, Liangzhou, et al.
Published: (2024)
End-to-End Optimization and Learning of Fair Court Schedules
by: Dinh, My H, et al.
Published: (2024)
by: Dinh, My H, et al.
Published: (2024)
Discovering Spatial Correlations of Earth Observations for weather forecasting by using Graph Structure Learning
by: Jeon, Hyeon-Ju, et al.
Published: (2025)
by: Jeon, Hyeon-Ju, et al.
Published: (2025)
Goal-Oriented Multi-Agent Reinforcement Learning for Decentralized Agent Teams
by: Du, Hung, et al.
Published: (2025)
by: Du, Hung, et al.
Published: (2025)
Goal-Oriented Sequential Bayesian Experimental Design for Causal Learning
by: Zhang, Zheyu, et al.
Published: (2025)
by: Zhang, Zheyu, et al.
Published: (2025)
Dense and Diverse Goal Coverage in Multi Goal Reinforcement Learning
by: Singh, Sagalpreet, et al.
Published: (2025)
by: Singh, Sagalpreet, et al.
Published: (2025)
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey
by: Colas, Cédric, et al.
Published: (2020)
by: Colas, Cédric, et al.
Published: (2020)
Goal Discovery with Causal Capacity for Efficient Reinforcement Learning
by: Yu, Yan, et al.
Published: (2025)
by: Yu, Yan, et al.
Published: (2025)
Machine Learning Assisted Postural Movement Recognition using Photoplethysmography(PPG)
by: Maccay, Robbie, et al.
Published: (2024)
by: Maccay, Robbie, et al.
Published: (2024)
Reinforcement Learning for Machine Learning Engineering Agents
by: Yang, Sherry, et al.
Published: (2025)
by: Yang, Sherry, et al.
Published: (2025)
AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench
by: Toledo, Edan, et al.
Published: (2025)
by: Toledo, Edan, et al.
Published: (2025)
Goal Exploration via Adaptive Skill Distribution for Goal-Conditioned Reinforcement Learning
by: Wu, Lisheng, et al.
Published: (2024)
by: Wu, Lisheng, et al.
Published: (2024)
Proposing Hierarchical Goal-Conditioned Policy Planning in Multi-Goal Reinforcement Learning
by: Rens, Gavin B.
Published: (2025)
by: Rens, Gavin B.
Published: (2025)
Technical Report: Evaluating Goal Drift in Language Model Agents
by: Arike, Rauno, et al.
Published: (2025)
by: Arike, Rauno, et al.
Published: (2025)
GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models
by: Li, Zaitang, et al.
Published: (2023)
by: Li, Zaitang, et al.
Published: (2023)
Adaptive Sparsified Graph Learning Framework for Vessel Behavior Anomalies
by: Kim, Jeehong, et al.
Published: (2025)
by: Kim, Jeehong, et al.
Published: (2025)
Offline Reinforcement Learning with Behavioral Supervisor Tuning
by: Srinivasan, Padmanaba, et al.
Published: (2024)
by: Srinivasan, Padmanaba, et al.
Published: (2024)
Behavior Preference Regression for Offline Reinforcement Learning
by: Srinivasan, Padmanaba, et al.
Published: (2025)
by: Srinivasan, Padmanaba, et al.
Published: (2025)
Goal-Oriented Time-Series Forecasting: Foundation Framework Design
by: Fechete, Luca-Andrei, et al.
Published: (2025)
by: Fechete, Luca-Andrei, et al.
Published: (2025)
Learning to Reach Goals via Diffusion
by: Jain, Vineet, et al.
Published: (2023)
by: Jain, Vineet, et al.
Published: (2023)
Backward Learning for Goal-Conditioned Policies
by: Höftmann, Marc, et al.
Published: (2023)
by: Höftmann, Marc, et al.
Published: (2023)
Self-Supervised Goal-Reaching Results in Multi-Agent Cooperation and Exploration
by: Nimonkar, Chirayu, et al.
Published: (2025)
by: Nimonkar, Chirayu, et al.
Published: (2025)
Efficient Stimuli Generation using Reinforcement Learning in Design Verification
by: Gadde, Deepak Narayan, et al.
Published: (2024)
by: Gadde, Deepak Narayan, et al.
Published: (2024)
SVL: Goal-Conditioned Reinforcement Learning as Survival Learning
by: Tiofack, Franki Nguimatsia, et al.
Published: (2026)
by: Tiofack, Franki Nguimatsia, et al.
Published: (2026)
Probabilistic Curriculum Learning for Goal-Based Reinforcement Learning
by: Salt, Llewyn, et al.
Published: (2025)
by: Salt, Llewyn, et al.
Published: (2025)
Machine Learning Techniques for Pattern Recognition in High-Dimensional Data Mining
by: Li, Pochun
Published: (2024)
by: Li, Pochun
Published: (2024)
DecompGAIL: Learning Realistic Traffic Behaviors with Decomposed Multi-Agent Generative Adversarial Imitation Learning
by: Guo, Ke, et al.
Published: (2025)
by: Guo, Ke, et al.
Published: (2025)
Multi-Agent Reinforcement Learning with a Hierarchy of Reward Machines
by: Zheng, Xuejing, et al.
Published: (2024)
by: Zheng, Xuejing, et al.
Published: (2024)
Similar Items
-
On the Utility of Accounting for Human Beliefs about AI Intention in Human-AI Collaboration
by: Yu, Guanghui, et al.
Published: (2024) -
Early Prediction of Future Behavioral Strategy from Process Traces
by: Kasumba, Robert, et al.
Published: (2026) -
Goal Recognition as Reinforcement Learning
by: Amado, Leonardo Rosa, et al.
Published: (2022) -
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning
by: Gerstgrasser, Matthias, et al.
Published: (2023) -
Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning
by: Azran, Guy, et al.
Published: (2023)