| 2026 | AAAI | BTPG-max: Achieving Local Maximal Bidirectional Pairs for Bidirectional Temporal Plan Graphs. | Yifan Su, Rishi Veerapaneni, Jiaoyang Li |
| 2026 | AAAI | Dynamic Agent Grouping ECBS: Scaling Windowed Multi-Agent Path Finding with Completeness Guarantees. | Tiannan Zhang, Rishi Veerapaneni, Shao-Hung Chan, Jiaoyang Li, Maxim Likhachev |
| 2025 | AAAI | Windowed MAPF with Completeness Guarantees. | Rishi Veerapaneni, Muhammad Suhail Saleem, Jiaoyang Li, Maxim Likhachev |
| 2025 | ICRA | Deploying Ten Thousand Robots: Scalable Imitation Learning for Lifelong Multi-Agent Path Finding. | He Jiang, Yutong Wang, Rishi Veerapaneni, Tanishq Duhan, Guillaume Sartoretti, Jiaoyang Li |
| 2025 | ICRA | Work Smarter Not Harder: Simple Imitation Learning with CS-PIBT Outperforms Large-Scale Imitation Learning for MAPF. | Rishi Veerapaneni, Arthur Jakobsson, Kevin Ren, Samuel Kim, Jiaoyang Li, Maxim Likhachev |
| 2025 | SoCS | Real-Time LaCAM for Real-Time MAPF. | Runzhe Liang, Rishi Veerapaneni, Daniel Harabor, Jiaoyang Li, Maxim Likhachev |
| 2025 | SoCS | Lazy Heuristic Search for Solving POMDPs with Expensive-to-Compute Belief Transitions. | Muhammad Suhail Saleem, Rishi Veerapaneni, Maxim Likhachev |
| 2024 | AAAI | Bidirectional Temporal Plan Graph: Enabling Switchable Passing Orders for More Efficient Multi-Agent Path Finding Plan Execution. | Yifan Su, Rishi Veerapaneni, Jiaoyang Li |
| 2024 | CoRL | ANAVI: Audio Noise Awareness using Visual of Indoor environments for NAVIgation. | Vidhi Jain, Rishi Veerapaneni, Yonatan Bisk |
| 2024 | ICAPS | Improving Learnt Local MAPF Policies with Heuristic Search. | Rishi Veerapaneni, Qian Wang, Kevin Ren, Arthur Jakobsson, Jiaoyang Li, Maxim Likhachev |
| 2024 | ICAPS | MAPF in 3D Warehouses: Dataset and Analysis. | Qian Wang, Rishi Veerapaneni, Yu Wu, Jiaoyang Li, Maxim Likhachev |
| 2024 | SoCS | Scaling Lifelong Multi-Agent Path Finding to More Realistic Settings: Research Challenges and Opportunities. | Jiang He, Yulun Zhang, Rishi Veerapaneni, Jiaoyang Li |
| 2024 | SoCS | Unconstraining Multi-Robot Manipulation: Enabling Arbitrary Constraints in ECBS with Bounded Sub-Optimality. | Yorai Shaoul, Rishi Veerapaneni, Maxim Likhachev, Jiaoyang Li |
| 2024 | SoCS | A Data Efficient Framework for Learning Local Heuristics. | Rishi Veerapaneni, Jonathan Park, Muhammad Suhail Saleem, Maxim Likhachev |
| 2024 | SoCS | From Space-Time to Space-Order: Directly Planning a Temporal Planning Graph by Redefining CBS (Extended Abstract). | Yu Wu, Rishi Veerapaneni, Jiaoyang Li, Maxim Likhachev |
| 2023 | AAAI | Effective Integration of Weighted Cost-to-Go and Conflict Heuristic within Suboptimal CBS. | Rishi Veerapaneni, Tushar Kusnur, Maxim Likhachev |
| 2022 | SoCS | Effectively Incorporating Weighted Cost-to-go Heuristic in Suboptimal CBS (Extended Abstract). | Rishi Veerapaneni, Tushar Kusnur, Maxim Likhachev |
| 2019 | CoRL | Entity Abstraction in Visual Model-Based Reinforcement Learning. | Rishi Veerapaneni, John D. Co-Reyes, Michael Chang, Michael Janner, Chelsea Finn, Jiajun Wu, Joshua B. Tenenbaum, Sergey Levine |