CVLight: Deep Reinforcement Learning for Adaptive Traffic Signal Control with Connected Vehicles. - Wangzhi Li; Yaxing Cai; Ujwal Dinesha; Yongjie Fu; Xuan Di (CoRR, 2021)

Realtime intelligent control for NextG cellular radio access networks. - Harish Kumar Dureppagari; Ujwal Dinesha; Raini Wu; Santosh Ganji; Woo-Hyun Ko; Srinivas Shakkottai; Dinesh Bharadia (MobiSys, 2022)

Demo: EdgeRIC: Delivering Realtime RAN Intelligence. - Woo-Hyun Ko; Ushasi Ghosh; Ujwal Dinesha; Raini Wu; Srinivas Shakkottai; Dinesh Bharadia (SIGCOMM, 2023)

EdgeRIC: Empowering Realtime Intelligent Optimization and Control in NextG Networks. - Woo-Hyun Ko; Ujwal Dinesha; Ushasi Ghosh; Srinivas Shakkottai; Dinesh Bharadia; Raini Wu (CoRR, 2023)

A Multi-Agent View of Wireless Video Streaming with Delayed Client-Feedback. - Nouman Khan; Ujwal Dinesha; Subrahmanyam Arunachalam; Dheeraj Narasimha; Vijay G. Subramanian; Srinivas Shakkottai (INFOCOM, 2024)

Risk-Averse Fine-tuning of Large Language Models. - Sapana Chaudhary; Ujwal Dinesha; Dileep Kalathil; Srinivas Shakkottai (NeurIPS, 2024)

EdgeRIC: Empowering Real-time Intelligent Optimization and Control in NextG Cellular Networks. - Woo-Hyun Ko; Ushasi Ghosh; Ujwal Dinesha; Raini Wu; Srinivas Shakkottai; Dinesh Bharadia (NSDI, 2024)

DOPL: Direct Online Preference Learning for Restless Bandits with Preference Feedback. - Guojun Xiong; Ujwal Dinesha; Debajoy Mukherjee; Jian Li 008; Srinivas Shakkottai (ICLR, 2025)

Risk-Averse Finetuning of Large Language Models. - Sapana Chaudhary; Ujwal Dinesha; Dileep Kalathil; Srinivas Shakkottai (CoRR, 2025)

PITA: Preference-Guided Inference-Time Alignment for LLM Post-Training. - Sarat Chandra Bobbili; Ujwal Dinesha; Dheeraj Narasimha; Srinivas Shakkottai (CoRR, 2025)