Stay Alive with Many Options: A Reinforcement Learning Approach for Autonomous Navigation. - Ambedkar Dukkipati; Rajarshi Banerjee; Ranga Shaarad Ayyagari; Dhaval Parmar Udaybhai (CoRR, 2021)

Risk-Aware Algorithms for Combinatorial Semi-Bandits. - Ranga Shaarad Ayyagari; Ambedkar Dukkipati (CoRR, 2021)

Learning Skills to Navigate without a Master: A Sequential Multi-Policy Reinforcement Learning Algorithm. - Ambedkar Dukkipati; Rajarshi Banerjee; Ranga Shaarad Ayyagari; Dhaval Parmar Udaybhai (IROS, 2022)

Risk-Averse Combinatorial Semi-Bandits. - Ranga Shaarad Ayyagari; Ambedkar Dukkipati (ISIT, 2023)

Markov Decision Process with an External Temporal Process. - Ranga Shaarad Ayyagari; Ambedkar Dukkipati (CoRR, 2023)

Temporal Abstraction in Reinforcement Learning with Offline Data. - Ranga Shaarad Ayyagari; Anurita Ghosh; Ambedkar Dukkipati (CoRR, 2024)

Active Reinforcement Learning Strategies for Offline Policy Improvement. - Ambedkar Dukkipati; Ranga Shaarad Ayyagari; Bodhisattwa Dasgupta; Parag Dutta; Prabhas Reddy Onteru (AAAI, 2025)

Predictive AI with External Knowledge Infusion for Stocks. - Ambedkar Dukkipati; Kawin Mayilvaghanan; Naveen Kumar Pallekonda; Sai Prakash Hadnoor; Ranga Shaarad Ayyagari (CoRR, 2025)