Preprints

Publications

• FlowPG: Action-constrained Policy Gradient with Normalizing Flows.
  Janaka Chathuranga Brahmanage, Ling Jiajing, Akshat Kumar. Conference on Neural Information Processing Systems (NeurIPS), 2024.

• Knowledge Compilation for Constrained Combinatorial Action Spaces in Reinforcement Learning.
  Jiajing Ling*, Moritz Lukas Schuler*, Akshat Kumar, Pradeep Varakantham (* denotes equal contribution). International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2023. PDF Poster Code

• Tutorial: Efficient Neural-Symbolic Reasoning via Reinforcement Learning.
  Daoming Lyu, Bo Liu, Jianshu Chen, Akshat Kumar, Jiajing Ling. International Conference on Automated Planning and Scheduling (ICAPS), 2022.

• Constrained Multiagent Reinforcement Learning for Large Agent Population.
  Jiajing Ling, Arambam James Singh, Nguyen Duc Thien, Akshat Kumar. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD), 2022. PDF Code

• Integrating Knowledge Compilation with Reinforcement Learning for Routes.
  Jiajing Ling*, Kushagra Chandak*, Akshat Kumar (* denotes equal contribution). International Conference on Automated Planning and Scheduling (ICAPS), 2021. PDF Supplementary Code

• Combining Propositional Logic Based Decision Diagrams with Decision Making in Urban Systems.
  Jiajing Ling*, Kushagra Chandak*, Akshat Kumar (* denotes equal contribution). AI for Urban Mobility Workshop, AAAI Conference on Artificial Intelligence, 2021. Arxiv

• Reinforcement Learning for Zone Based Multiagent Pathfinding under Uncertainty.
  Jiajing Ling, Tarun Gupta, Akshat Kumar. International Conference on Automated Planning and Scheduling (ICAPS), 2020. PDF Code