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Number of items: 17.

Ghalme, G and Nair, V and Patil, V and Zhou, Y (2022) Long-Term Resource Allocation Fairness in Average Markov Decision Process (AMDP) Environment. In: 21st International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022, 9 - 13 May 2022, Virtual, Online at Auckland, pp. 525-533.

Narang, S and Biswas, A and Narahari, Y (2022) On Achieving Leximin Fairness and Stability in Many-to-One Matchings. In: 21st International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022, 9 - 13 May 2022, Auckland, Virtual, pp. 1705-1707.

Talekar, A and Shriram, S and Vaidhiyan, N and Aggarwal, G and Chen, J and Venkatramanan, S and Wang, L and Adiga, A and Sadilek, A and Tendulkar, A and Marathe, M and Sundaresan, R and Tambe, M (2021) Cohorting to Isolate asymptomatic spreaders: An agent-based simulation study on the Mumbai Suburban Railway. In: 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021, 3-7 May 2021, pp. 1668-1670.

Patel, D and Khan, A and Louis, A (2021) Group fairness for knapsack problems. In: 20th International Conference on Autonomous Agents and Multiagent Systems, 3-7 May 2021, pp. 989-997.

Ghalme, G and Dhamal, S and Jain, S and Gujar, S and Narahari, Y (2020) Ballooning multi-armed bandits. In: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, 13-19 May 2020, Virtual, Auckland, pp. 1849-1851.

Padakandla, S (2020) Reinforcement learning algorithms for autonomous adaptive agents. In: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, 19 May 2020 through 13 May 2020, Virtual, Auckland, pp. 2201-2203.

Gupta, S and Dukkipati, A (2020) Winning an election: On emergent strategic communication in multi-agent networks. In: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, 13-19 May 2020, Virtual, Auckland, pp. 1861-1863.

Gupta, S and Hazra, R and Dukkipati, A (2020) Networked multi-agent reinforcement learning with emergent communication. In: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, 19-13 May 2020, Virtual, Auckland, pp. 1858-1860.

Murali, R and Patnaik, S and Cranefield, S (2020) Mining international political norms from the GDELT database. In: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, 19-13 May 2020, Virtual, Auckland, pp. 1943-1945.

Biswas, A and Mukherjee, S (2019) Fairness through the lens of proportional equality. In: 18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019, 13 - 17 May 2019, Montreal, pp. 1832-1834.

Diddigi, RB and Prabuchandran, KJ and Sai Koti Reddy, D and Bhatnagar, S (2019) Actor-critic algorithms for constrained multi-agent reinforcement learning. In: 18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019, 13 May 2019through 17 May 2019, Montreal, pp. 1931-1933.

Barman, S and Ghalme, G and Jain, S and Kulkarni, P and Narang, S (2019) Fair division of indivisible goods among strategic agents. In: 18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019, 13 - 17 May 2019, Montreal, pp. 1811-1813.

Mathur, A and Bhattacharyya, A (2017) On the gap between outcomes of voting rules. In: 16th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017, 8 - 12 May 2017, Sao paulo, pp. 1631-1633.

Dey, P and Misra, N and Narahari, Y (2017) Parameterized dichotomy of choosing committees based on approval votes in the presence of outliers. In: 16th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017, 8 - 12 May 2017, Sao paulo, pp. 42-50.

Chandra, P and Gujar, S and Narahari, Y (2017) Referral-Embedded provision point mechanisms for crowd funding of public projects. In: 16th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017, 8 - 12 May 2017, Sao paulo, pp. 642-650.

Padmanabhan, D (2017) Theoretical models for learning from multiple, heterogenous and strategic agents. In: 16th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017, 8 - 12 May 2017, Sao Paulo, pp. 1847-1848.

Ghalme, G and Gujar, S and Jain, S and Narahari, Y (2017) Thompson sampling based mechanisms for stochastic multi-Armed bandit problems. In: 16th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017, 8 May 2017-12 May 2017, Sao paulo, pp. 87-95.

This list was generated on Sat Apr 20 04:22:59 2024 IST.