Crowley, Mark

16 publications

NeurIPSW 2023 ChemGymRL: An Interactive Framework for Reinforcement Learning for Digital Chemistry Chris Beeler, Sriram Ganapathi Subramanian, Kyle Sprague, Colin Bellinger, Mark Crowley, Isaac Tamblyn
NeurIPSW 2023 Demonstrating ChemGymRL: An Interactive Framework for Reinforcement Learning for Digital Chemistry Chris Beeler, Sriram Ganapathi Subramanian, Kyle Sprague, Colin Bellinger, Mark Crowley, Isaac Tamblyn
NeurIPSW 2023 Dynamic Observation Policies in Observation Cost-Sensitive Reinforcement Learning Colin Bellinger, Mark Crowley, Isaac Tamblyn
ICML 2023 Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting Shayan Shirahmad Gale Bagi, Zahra Gharaee, Oliver Schulte, Mark Crowley
IJCAI 2023 Multi-Agent Advisor Q-Learning (Extended Abstract) Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley
AAAI 2022 Decentralized Mean Field Games Sriram Ganapathi Subramanian, Matthew E. Taylor, Mark Crowley, Pascal Poupart
JAIR 2022 Multi-Agent Advisor Q-Learning Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley
NeurIPSW 2021 Investigation of Independent Reinforcement Learning Algorithms in Multi-Agent Environments Ken Ming Lee, Sriram Ganapathi Subramanian, Mark Crowley
ACML 2021 Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds Reza Godaz, Benyamin Ghojogh, Reshad Hosseini, Reza Monsefi, Fakhri Karray, Mark Crowley
AAAI 2019 Artificial Counselor System for Stock Investment Hadi NekoeiQachkanloo, Benyamin Ghojogh, Ali Saheb Pasand, Mark Crowley
ECML-PKDD 2019 Compact Representation of a Multi-Dimensional Combustion Manifold Using Deep Neural Networks Sushrut Bhalla, Matthew X. Yao, Jean-Pierre Hickey, Mark Crowley
JMLR 2015 PAC Optimal MDP Planning with Application to Invasive Species Management Majid Alkaee Taleghan, Thomas G. Dietterich, Mark Crowley, Kim Hall, H. Jo Albers
IJCAI 2013 Cyclic Causal Models with Discrete Variables: Markov Chain Equilibrium Semantics and Sample Ordering David Poole, Mark Crowley
AAAI 2013 PAC Optimal Planning for Invasive Species Management: Improved Exploration for Reinforcement Learning from Simulator-Defined MDPs Thomas G. Dietterich, Majid Alkaee Taleghan, Mark Crowley
AAAI 2011 Policy Gradient Planning for Environmental Decision Making with Existing Simulators Mark Crowley, David Poole
UAI 2009 Seeing the Forest Despite the Trees: Large Scale Spatial-Temporal Decision Making Mark Crowley, John Nelson, David Poole