1.Daksh Anand; Vaibhav Gupta; Praveen Paruchuri; Balaraman Ravindran: An Enhanced Advising Model in Teacher-Student Framework using State Categorization. In: Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, pp. 6653–6660, AAAI Press, 2021. (Type: Conference | Links | BibTeX | Tags: )
2.Vaibhav Gupta; Daksh Anand; Praveen Paruchuri; Akshat Kumar: Action Selection for Composable Modular Deep Reinforcement Learning. In: Dignum, Frank; Lomuscio, Alessio; Endriss, Ulle; é, Ann Now (Ed.): AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, Virtual Event, United Kingdom, May 3-7, 2021, pp. 565–573, ACM, 2021. (Type: Conference | Links | BibTeX | Tags: )
3.Vaibhav Gupta; Daksh Anand; Praveen Paruchuri; Balaraman Ravindran: Advice Replay Approach for Richer Knowledge Transfer in Teacher Student Framework. In: AAMAS, pp. 1997–1999, International Foundation for Autonomous Agents and Multiagent Systems, 2019. (Type: Conference | BibTeX | Tags: )