Search Publications

@inproceedings{Kritika22,
title = {How Private Is Your RL Policy? An Inverse RL Based Analysis Framework},
author = {Kritika Prakash and Fiza Hussain and Praveen Paruchuri and Sujit Gujar},
year = {2022},
date = {2022-02-22},
booktitle = {36th AAAI Conference on Artificial Intelligence },
publisher = {AAAI},
keywords = {differential privacy, inverse reinforcement learning, Reinforcement Learning},
pubstate = {forthcoming},
tppubtype = {inproceedings}
}

@inproceedings{DBLP:conf/aaai/AnandGPR21,
title = {An Enhanced Advising Model in Teacher-Student Framework using State
Categorization},
author = {Daksh Anand and Vaibhav Gupta and Praveen Paruchuri and Balaraman Ravindran},
url = {https://ojs.aaai.org/index.php/AAAI/article/view/16823},
year = {2021},
date = {2021-01-01},
booktitle = {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},
pages = {6653--6660},
publisher = {AAAI Press},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{DBLP:conf/atal/GuptaAPK21,
title = {Action Selection for Composable Modular Deep Reinforcement Learning},
author = {Vaibhav Gupta and Daksh Anand and Praveen Paruchuri and Akshat Kumar},
editor = {Frank Dignum and Alessio Lomuscio and Ulle Endriss and Ann Now \'{e}},
url = {https://dl.acm.org/doi/10.5555/3463952.3464022},
year = {2021},
date = {2021-01-01},
booktitle = {AAMAS '21: 20th International Conference on Autonomous Agents and
Multiagent Systems, Virtual Event, United Kingdom, May 3-7, 2021},
pages = {565--573},
publisher = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{ghosh20a,
title = {Bidding in Smart Grid PDAs: Theory, Analysis and Strategy},
author = {Susobhan Ghosh and Sujit Gujar and Praveen Paruchuri and Easwar Subramanian and Sanjay P},
url = {https://www.researchgate.net/publication/337337754_Bidding_in_Smart_Grid_PDAs_Theor},
year = {2020},
date = {2020-02-07},
booktitle = {AAAI},
publisher = {AAAI Press},
keywords = {auctions, bidding, equilibrium, Game Theory},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{munnangi2020improving,
title = {Improving Wildlife Monitoring using a Multi-criteria Cooperative Target Observation Approach.},
author = {Sai Krishna Munnangi and Praveen Paruchuri},
year = {2020},
date = {2020-01-01},
booktitle = {HICSS},
pages = {1--10},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{dasika2020an,
title = {An Ensemble Learning Approach to Improve Tracking Accuracy of Multi Sensor Fusion.},
author = {Anoop Karnik Dasika and Praveen Paruchuri},
year = {2020},
date = {2020-01-01},
booktitle = {ICONIP},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{pradhan2020rise,
title = {Rise of Algorithmic Trading in Today's Changing Electricity Market.},
author = {Anindya Pradhan and Easwar Subramanian and Sanjay P Bhat and Praveen Paruchuri and Sujit Gujar},
year = {2020},
date = {2020-01-01},
booktitle = {India Smart Utility Week},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{pucha2020inferring,
title = {Inferring Personality Types for Better Automated Negotiation},
author = {Sai Naveen Pucha and Praveen Paruchuri},
year = {2020},
date = {2020-01-01},
booktitle = {International Conference on Group Decision and Negotiation},
pages = {149--162},
organization = {Springer},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{gear2020predictrv,
title = {PredictRV: A Prediction Based Strategy for Negotiations with Dynamically Changing Reservation Value},
author = {Aditya Srinivas Gear and Kritika Prakash and Nonidh Singh and Praveen Paruchuri},
year = {2020},
date = {2020-01-01},
booktitle = {International Conference on Group Decision and Negotiation},
pages = {135--148},
organization = {Springer},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{10.1007/978-3-030-48641-9_10,
title = {PredictRV: A Prediction Based Strategy for Negotiations with Dynamically Changing Reservation Value},
author = {Aditya Srinivas Gear and Kritika Prakash and Nonidh Singh and Praveen Paruchuri},
editor = {Danielle Costa Morais and Liping Fang and Masahide Horita},
isbn = {978-3-030-48641-9},
year = {2020},
date = {2020-01-01},
booktitle = {Group Decision and Negotiation: A Multidisciplinary Perspective},
pages = {135--148},
publisher = {Springer International Publishing},
address = {Cham},
abstract = {Negotiation is an important component of the interaction process among humans. With increasing automation, autonomous agents are expected to take over a lot of this interaction process. Much of automated negotiation literature focuses on agents having a static and known reservation value. In situations involving dynamic environments e.g., an agent negotiating on behalf of a human regarding a meeting, agents can have a reservation value (RV) that is a function of time. This leads to a different set of challenges that may need additional reasoning about the concession behavior. In this paper, we build upon Negotiation algorithms such as ONAC (Optimal Non-Adaptive Concession) and Time-Dependent Techniques such as Boulware which work on settings where the reservation value of the agent is fixed and known. Although these algorithms can encode dynamic RV, their concession behavior and hence the properties they were expected to display would be different from when the RV is static, even though the underlying negotiation algorithm remains the same. We, therefore, propose to use one of Counter, Bayesian Learning with Regression Analysis or LSTM model on top of each algorithm to develop the PredictRV strategy and show that PredictRV indeed performs better on two different metrics tested on two different domains on a variety of parameter settings.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{DBLP:conf/atal/GuptaAPR19,
title = {Advice Replay Approach for Richer Knowledge Transfer in Teacher Student
Framework},
author = {Vaibhav Gupta and Daksh Anand and Praveen Paruchuri and Balaraman Ravindran},
year = {2019},
date = {2019-01-01},
booktitle = {AAMAS},
pages = {1997--1999},
publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{DBLP:conf/aaai/GhoshSBGP19,
title = {VidyutVanika: A Reinforcement Learning Based Broker Agent for a
Power Trading Competition},
author = {Susobhan Ghosh and Easwar Subramanian and Sanjay P Bhat and Sujit Gujar and Praveen Paruchuri},
year = {2019},
date = {2019-01-01},
booktitle = {AAAI},
pages = {914--921},
publisher = {AAAI Press},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{DBLP:conf/aaai/0002KP19,
title = {Successor Features Based Multi-Agent RL for Event-Based Decentralized
MDPs},
author = {Tarun Gupta and Akshat Kumar and Praveen Paruchuri},
year = {2019},
date = {2019-01-01},
booktitle = {AAAI},
pages = {6054--6061},
publisher = {AAAI Press},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{ghosh2019vidyutvanika,
title = {Vidyutvanika: An autonomous broker agent for smart grid environment},
author = {Susobhan Ghosh and Kritika Prakash and Sanjay Chandlekar and Easwar Subramanian and Sanjay P Bhat and Sujit Gujar and Praveen Paruchuri},
year = {2019},
date = {2019-01-01},
booktitle = {PASS},
volume = {7},
publisher = {Policy, Awareness, Sustainability and Systems (PASS) Workshop},
keywords = {Reinforcement Learning, smart grids},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{DBLP:conf/aaai/GuptaKP18a,
title = {Planning and Learning for Decentralized MDPs with Event Driven Rewards},
author = {Tarun Gupta and Akshat Kumar and Praveen Paruchuri},
year = {2018},
date = {2018-01-01},
booktitle = {AAAI Workshops},
volume = {WS-18},
pages = {665},
publisher = {AAAI Press},
series = {AAAI Workshops},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{DBLP:conf/aaai/GuptaKP18b,
title = {Planning and Learning for Decentralized MDPs With Event Driven Rewards},
author = {Tarun Gupta and Akshat Kumar and Praveen Paruchuri},
year = {2018},
date = {2018-01-01},
booktitle = {AAAI},
pages = {6186--6194},
publisher = {AAAI Press},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}