@article{yang2026lexisafe,title={LexiSafe: Offline Safe Reinforcement Learning with Lexicographic Safety-Reward Hierarchy},author={Yang, Hsin-Jung and Jiang, Zhanhong and Koirala, Prajwal and Liu, Qisai and Fleming, Cody and Sarkar, Soumik},journal={arXiv preprint arXiv:2602.17312},year={2026},}
In Submission
Neural CDEs as Correctors for learned time series models
Muhammad Bilal Shahid, Zhanhong Jiang, Prajwal Koirala, and 2 more authors
@article{shahid2026neural,title={Neural CDEs as Correctors for learned time series models},author={Shahid, Muhammad Bilal and Jiang, Zhanhong and Koirala, Prajwal and Sarkar, Soumik and Fleming, Cody},journal={arXiv preprint arXiv:2512.12116},year={2026},}
In Submission
LCLA: Language-Conditioned Latent Alignment for Vision-Language Navigation
Nitesh Subedi, Adam Haroon, Samuel TK Tetteh, and 3 more authors
@article{subedi2026lcla,title={LCLA: Language-Conditioned Latent Alignment for Vision-Language Navigation},author={Subedi, Nitesh and Haroon, Adam and Tetteh, Samuel TK and Koirala, Prajwal and Fleming, Cody and Sarkar, Soumik},journal={arXiv preprint arXiv:2602.07629},year={2026},}
2025
RSS FM4RoboPlan 2025
Can Pretrained Vision-Language Embeddings Alone Guide Robot Navigation?
Nitesh Subedi*, Adam Haroon*, Shreyan Ganguly, and 4 more authors
@article{subedi2025can,title={Can Pretrained Vision-Language Embeddings Alone Guide Robot Navigation?},author={Subedi, Nitesh and Haroon, Adam and Ganguly, Shreyan and Tetteh, Samuel TK and Koirala, Prajwal and Fleming, Cody and Sarkar, Soumik},journal={arXiv preprint arXiv:2506.14507},year={2025},}
ICLR 2026
Flow-Based Single-Step Completion for Efficient and Expressive Policy Learning
@article{koirala2025flow,title={Flow-Based Single-Step Completion for Efficient and Expressive Policy Learning},author={Koirala, Prajwal and Fleming, Cody},journal={arXiv preprint arXiv:2506.21427},year={2025},}
2024
ITSC 2024
F1tenth Autonomous Racing With Offline Reinforcement Learning Methods
Prajwal Koirala and Cody Fleming
In 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), 2024
@inproceedings{koirala2024f1tenth,title={F1tenth Autonomous Racing With Offline Reinforcement Learning Methods},author={Koirala, Prajwal and Fleming, Cody},booktitle={2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)},pages={3922--3929},year={2024},organization={IEEE},}
ICLR 2025
Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learning
Prajwal Koirala, Zhanhong Jiang, Soumik Sarkar, and 1 more author
@article{koirala2024fawac,title={FAWAC: Feasibility Informed Advantage Weighted Regression for Persistent Safety in Offline Reinforcement Learning},author={Koirala, Prajwal and Jiang, Zhanhong and Sarkar, Soumik and Fleming, Cody},journal={arXiv preprint arXiv:2412.08880},year={2024},}
CoRL 2024
Solving offline reinforcement learning with decision tree regression
@inproceedings{koirala2024solving,title={Solving offline reinforcement learning with decision tree regression},author={Koirala, Prajwal and Fleming, Cody},booktitle={8th Conference on Robot Learning},year={2024},organization={PMLR},}