Forest Agostinelli

30 papers A* 4Misc 2Journal 18Unranked 6
YearRankTypeTitle / Venue / Authors
2026 A* conf
Beyond Single-Step Updates: Reinforcement Learning of Heuristics with Limited-Horizon Search.
AAAI
Gal Hadar, Forest Agostinelli, Shahaf S. Shperberg
2026 J jnl
The DeepXube Software Package for Solving Pathfinding Problems with Learned Heuristic Functions and Search.
CoRR
Forest Agostinelli
2025 J jnl
Beyond Single-Step Updates: Reinforcement Learning of Heuristics with Limited-Horizon Search.
CoRR
Gal Hadar, Forest Agostinelli, Shahaf S. Shperberg
2025 Misc conf
Designing XAI Chatbots to Enhance Self-Efficacy in Youth in Pathfinding Problem Domains.
IDC
Valerie Lookingbill, Jonathan Fu, Matthew Irvin, Dezhi Wu, Forest Agostinelli
2025 J jnl
Student Engagement in AI Assisted Complex Problem Solving: A Pilot Study of Human AI Rubik's Cube Collaboration.
CoRR
Kirk Vanacore, Jaclyn Ocumpaugh, Forest Agostinelli, Dezhi Wu, Sai Krishna Revanth Vuruma, Matthew Irvin
2024 J jnl
Learning Discrete World Models for Heuristic Search.
RLJ
Forest Agostinelli, Misagh Soltani
2024 J jnl
PDDLFuse: A Tool for Generating Diverse Planning Domains.
CoRR
Vedant Khandelwal, Amit P. Sheth, Forest Agostinelli
2024 A* conf
Specifying Goals to Deep Neural Networks with Answer Set Programming.
ICAPS
Forest Agostinelli, Rojina Panta, Vedant Khandelwal
2024 J jnl
Towards Learning Foundation Models for Heuristic Functions to Solve Pathfinding Problems.
CoRR
Vedant Khandelwal, Amit P. Sheth, Forest Agostinelli
2024 J jnl
Trust and ethical considerations in a multi-modal, explainable AI-driven chatbot tutoring system: The case of collaboratively solving Rubik's Cube.
CoRR
Kausik Lakkaraju, Vedant Khandelwal, Biplav Srivastava, Forest Agostinelli, Hengtao Tang, Prathamjeet Singh, Dezhi Wu, Matthew Irvin, Ashish Kundu
2023 J jnl
Independent Modular Networks.
CoRR
Hamed Damirchi, Forest Agostinelli, Pooyan Jamshidi
2023 J jnl
On Solving the Rubik's Cube with Domain-Independent Planners Using Standard Representations.
CoRR
Bharath Muppasani, Vishal Pallagani, Biplav Srivastava, Forest Agostinelli
2022 — conf
AI-Driven User Interface Design for Solving a Rubik's Cube: A Scaffolding Design Perspective.
HCI (41)
Dezhi Wu, Hengtao Tang, Cassidy Bradley, Brittany Capps, Prathamjeet Singh, Katelyn Wyandt, Karen Wong, Matthew Irvin, Forest Agostinelli, Biplav Srivastava
2022 A* conf
ALLURE: A Multi-Modal Guided Environment for Helping Children Learn to Solve a Rubik's Cube with Automatic Solving and Interactive Explanations.
AAAI
Kausik Lakkaraju, Thahimum Hassan, Vedant Khandelwal, Prathamjeet Singh, Cassidy Bradley, Ronak Shah, Forest Agostinelli, Biplav Srivastava, Dezhi Wu
2022 J jnl
CircadiOmics: circadian omic web portal.
Nucleic Acids Res.
Muntaha Samad, Forest Agostinelli, Tomoki Sato, Kohei Shimaji, Pierre Baldi
2022 — conf
Explainable Artificial Intelligence (XAI) User Interface Design for Solving a Rubik's Cube.
HCI (49)
Cassidy Bradley, Dezhi Wu, Hengtao Tang, Ishu Singh, Katelyn Wydant, Brittany Capps, Karen Wong, Forest Agostinelli, Matthew Irvin, Biplav Srivastava
2021 J jnl
A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks.
CoRR
Forest Agostinelli, Alexander Shmakov, Stephen McAleer, Roy Fox, Pierre Baldi
2021 Misc conf
Designing Children's New Learning Partner: Collaborative Artificial Intelligence for Learning to Solve the Rubik's Cube.
IDC
Forest Agostinelli, Mihir Mavalankar, Vedant Khandelwal, Hengtao Tang, Dezhi Wu, Barnett Berry, Biplav Srivastava, Amit P. Sheth, Matthew Irvin
2021 J jnl
SPLASH: Learnable activation functions for improving accuracy and adversarial robustness.
Neural Networks
Mohammadamin Tavakoli, Forest Agostinelli, Pierre Baldi
2020 J jnl
SPLASH: Learnable Activation Functions for Improving Accuracy and Adversarial Robustness.
CoRR
Mohammadamin Tavakoli, Forest Agostinelli, Pierre Baldi
2019 — conf
Solving the Rubik's Cube with Approximate Policy Iteration.
ICLR (Poster)
Stephen McAleer, Forest Agostinelli, Alexander Shmakov, Pierre Baldi
2019 J jnl
Solving the Rubik's cube with deep reinforcement learning and search.
Nat. Mach. Intell.
Forest Agostinelli, Stephen McAleer, Alexander Shmakov, Pierre Baldi
2018 J jnl
CircadiOmics: circadian omic web portal.
Nucleic Acids Res.
Nicholas Ceglia, Yu Liu, Siwei Chen, Forest Agostinelli, Kristin Eckel-Mahan, Paolo Sassone-Corsi, Pierre Baldi
2018 J jnl
Solving the Rubik's Cube Without Human Knowledge.
CoRR
Stephen McAleer, Forest Agostinelli, Alexander Shmakov, Pierre Baldi
2017 — conf
From Reinforcement Learning to Deep Reinforcement Learning: An Overview.
Braverman Readings in Machine Learning
Forest Agostinelli, Guillaume Hocquet, Sameer Singh, Pierre Baldi
2016 A* conf
Improving Survey Aggregation with Sparsely Represented Signals.
KDD
Tianlin Shi, Forest Agostinelli, Matthew Staib, David P. Wipf, Thomas Moscibroda
2016 J jnl
What time is it? Deep learning approaches for circadian rhythms.
Bioinform.
Forest Agostinelli, Nicholas Ceglia, Babak Shahbaba, Paolo Sassone-Corsi, Pierre Baldi
2016 J jnl
What time is it? Deep learning approaches for circadian rhythms.
Bioinform.
Forest Agostinelli, Nicholas Ceglia, Babak Shahbaba, Paolo Sassone-Corsi, Pierre Baldi
2015 — conf
Learning Activation Functions to Improve Deep Neural Networks.
ICLR (Workshop)
Forest Agostinelli, Matthew D. Hoffman, Peter J. Sadowski, Pierre Baldi
2013 — conf
Adaptive Multi-Column Deep Neural Networks with Application to Robust Image Denoising.
NIPS
Forest Agostinelli, Michael R. Anderson, Honglak Lee