Modeling and reinforcement learning in partially observable many-agent systems - Keyang He; Prashant Doshi; Bikramjit Banerjee (Auton. Agents Multi Agent Syst., 2024)

Reinforcement actor-critic learning as a rehearsal in MicroRTS - Shiron Manandhar; Bikramjit Banerjee (Knowl. Eng. Rev., 2024)

Robust Individualistic Learning in Many-Agent Systems - Keyang He; Prashant Doshi; Bikramjit Banerjee (PRIMA 2024: Principles and Practice of Multi-Agent Systems - 25th International Conference, Kyoto, Japan, November 18-24, 2024, Proceedings, 2024)

Quasimetric Value Functions with Dense Rewards - Khadichabonu Valieva; Bikramjit Banerjee (CoRR, 2024)

Latent Interactive A2C for Improved RL in Open Many-Agent Systems - Keyang He; Prashant Doshi; Bikramjit Banerjee (CoRR, 2023)

Reinforcement learning as a rehearsal for swarm foraging - Trung Nguyen; Bikramjit Banerjee (Swarm Intell., 2022)

Online Inverse Reinforcement Learning with Learned Observation Model - Saurabh Arora; Prashant Doshi; Bikramjit Banerjee (Conference on Robot Learning, CoRL 2022, 14-18 December 2022, Auckland, New Zealand, 2022)

Reinforcement learning in many-agent settings under partial observability - Keyang He; Prashant Doshi; Bikramjit Banerjee (Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, UAI 2022, 1-5 August 2022, Eindhoven, The Netherlands, 2022)

I2RL: online inverse reinforcement learning under occlusion - Saurabh Arora; Prashant Doshi; Bikramjit Banerjee (Auton. Agents Multi Agent Syst., 2021)

PALO bounds for reinforcement learning in partially observable stochastic games - Roi Ceren; Keyang He; Prashant Doshi; Bikramjit Banerjee (Neurocomputing, 2021)

Human-agent transfer from observations - Bikramjit Banerjee; Sneha Racharla (Knowl. Eng. Rev., 2021)

Cooperative-Competitive Reinforcement Learning with History-Dependent Rewards - Keyang He; Bikramjit Banerjee; Prashant Doshi (AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, Virtual Event, United Kingdom, May 3-7, 2021, 2021)

Min-Max Entropy Inverse RL of Multiple Tasks - Saurabh Arora; Prashant Doshi; Bikramjit Banerjee (IEEE International Conference on Robotics and Automation, ICRA 2021, Xi'an, China, May 30 - June 5, 2021, 2021)

Many Agent Reinforcement Learning Under Partial Observability - Keyang He; Prashant Doshi; Bikramjit Banerjee (CoRR, 2021)

Maximum Entropy Multi-Task Inverse RL - Saurabh Arora; Bikramjit Banerjee; Prashant Doshi (CoRR, 2020)

Cooperative-Competitive Reinforcement Learning with History-Dependent Rewards - Keyang He; Bikramjit Banerjee; Prashant Doshi (CoRR, 2020)

Team learning from human demonstration with coordination confidence - Bikramjit Banerjee; Syamala Vittanala; Matthew Edmund Taylor (Knowl. Eng. Rev., 2019)

Model-Free IRL Using Maximum Likelihood Estimation - Vinamra Jain; Prashant Doshi; Bikramjit Banerjee (The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019, 2019)

Online Inverse Reinforcement Learning Under Occlusion - Saurabh Arora; Prashant Doshi; Bikramjit Banerjee (Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS '19, Montreal, QC, Canada, May 13-17, 2019, 2019)

Autonomous Acquisition of Behavior Trees for Robot Control - Bikramjit Banerjee (2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018, Madrid, Spain, October 1-5, 2018, 2018)

A Framework and Method for Online Inverse Reinforcement Learning - Saurabh Arora; Prashant Doshi; Bikramjit Banerjee (CoRR, 2018)

Exact and Heuristic Algorithms for Risk-Aware Stochastic Physical Search - Daniel S. Brown; Jeffrey Hudack; Nathaniel Gemelli; Bikramjit Banerjee (Comput. Intell., 2017)

Multirobot Systems - Tsz-Chiu Au; Bikramjit Banerjee; Prithviraj Dasgupta; Peter Stone (IEEE Intell. Syst., 2017)

Multiagent Path Finding With Persistence Conflicts - Bikramjit Banerjee; Caleb E. Davis (IEEE Trans. Comput. Intell. AI Games, 2017)

Multi-agent reinforcement learning as a rehearsal for decentralized planning - Landon Kraemer; Bikramjit Banerjee (Neurocomputing, 2016)

Detection of Plan Deviation in Multi-Agent Systems - Bikramjit Banerjee; Steven Loscalzo; Daniel Lucas Thompson (Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, February 12-17, 2016, Phoenix, Arizona, USA, 2016)

Reinforcement Learning in Partially Observable Multiagent Settings: Monte Carlo Exploring Policies with PAC Bounds - Roi Ceren; Prashant Doshi; Bikramjit Banerjee (Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, Singapore, May 9-13, 2016, 2016)

The complexity of multi-agent plan recognition - Bikramjit Banerjee; Jeremy Lyle; Landon Kraemer (Auton. Agents Multi Agent Syst., 2015)

Stackelberg Surveillance - Bikramjit Banerjee; Landon Kraemer (Informatica (Slovenia), 2015)

Reinforcement Learning of Informed Initial Policies for Decentralized Planning - Landon Kraemer; Bikramjit Banerjee (ACM Trans. Auton. Adapt. Syst., 2014)

Model AI Assignments 2014 - Todd W. Neller; Laura E. Brown; Roger L. West; James E. Heliotis; Sean Strout; Ivona Bezáková; Bikramjit Banerjee; Daniel Lucas Thompson (Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, July 27 -31, 2014, Québec City, Québec, Canada, 2014)

Pruning for Monte Carlo Distributed Reinforcement Learning in Decentralized POMDPs - Bikramjit Banerjee (Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, July 14-18, 2013, Bellevue, Washington, USA, 2013)

Concurrent reinforcement learning as a rehearsal for decentralized planning under uncertainty - Landon Kraemer; Bikramjit Banerjee (International conference on Autonomous Agents and Multi-Agent Systems, AAMAS '13, Saint Paul, MN, USA, May 6-10, 2013, 2013)

Strategic best-response learning in multiagent systems - Bikramjit Banerjee; Jing Peng (J. Exp. Theor. Artif. Intell., 2012)

Sample Bounded Distributed Reinforcement Learning for Decentralized POMDPs - Bikramjit Banerjee; Jeremy Lyle; Landon Kraemer; Rajesh Yellamraju (Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, July 22-26, 2012, Toronto, Ontario, Canada, 2012)

Informed Initial Policies for Learning in Dec-POMDPs - Landon Kraemer; Bikramjit Banerjee (Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, July 22-26, 2012, Toronto, Ontario, Canada, 2012)

Efficient context free parsing of multi-agent activities for team and plan recognition - Bikramjit Banerjee; Jeremy Lyle; Landon Kraemer (International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2012, Valencia, Spain, June 4-8, 2012 (3 Volumes), 2012)

Action Discovery for Single and Multi-Agent Reinforcement Learning - Bikramjit Banerjee; Landon Kraemer (Adv. Complex Syst., 2011)

Branch and Price for Multi-Agent Plan Recognition - Bikramjit Banerjee; Landon Kraemer (Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2011, San Francisco, California, USA, August 7-11, 2011, 2011)

Adaptive Multi-robot Team Reconfiguration Using a Policy-Reuse Reinforcement Learning Approach - Prithviraj Dasgupta; Ke Cheng; Bikramjit Banerjee (Advanced Agent Technology - AAMAS 2011 Workshops, AMPLE, AOSE, ARMS, DOCM3AS, ITMAS, Taipei, Taiwan, May 2-6, 2011. Revised Selected Papers, 2011)

Fast a* with Iterative Resolution for Navigation - Kyle Walsh; Bikramjit Banerjee (Int. J. Artif. Intell. Tools, 2010)

Search Performance of Multi-Agent Plan Recognition in a General Model - Bikramjit Banerjee; Landon Kraemer (Plan, Activity, and Intent Recognition, Papers from the 2010 AAAI Workshop, Atlanta, Georgia, USA, July 12, 2010, 2010)

Multi-Agent Plan Recognition: Formalization and Algorithms - Bikramjit Banerjee; Landon Kraemer; Jeremy Lyle (Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2010, Atlanta, Georgia, USA, July 11-15, 2010, 2010)

Evaluation and Comparison of Multi-agent Based Crowd Simulation Systems - Bikramjit Banerjee; Landon Kraemer (Agents for Games and Simulations II - Trends in Techniques, Concepts and Design [AGS 2010, The Second International Workshop on Agents for Games and Simulations, May 10, 2010, Toronto, Canada], 2010)

Coalition structure generation in multi-agent systems with mixed externalities - Bikramjit Banerjee; Landon Kraemer (9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), Toronto, Canada, May 10-14, 2010, Volume 1-3, 2010)

Validation of agent based crowd egress simulation - Bikramjit Banerjee; Landon Kraemer (9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), Toronto, Canada, May 10-14, 2010, Volume 1-3, 2010)

Action discovery for reinforcement learning - Bikramjit Banerjee; Landon Kraemer (9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), Toronto, Canada, May 10-14, 2010, Volume 1-3, 2010)

Layered Intelligence for Agent-based Crowd Simulation - Bikramjit Banerjee; Ahmed Abukmail; Landon Kraemer (Simul., 2009)

Congestion Avoidance in Multi-Agent-based Egress Simulation - Bikramjit Banerjee; Matthew Bennett; Mike Johnson; Adel Ali (Proceedings of the 2008 International Conference on Artificial Intelligence, ICAI 2008, July 14-17, 2008, Las Vegas, Nevada, USA, 2 Volumes (includes the 2008 International Conference on Machine Learning; Models, Technologies and Applications), 2008)

Advancing the Layered Approach to Agent-Based Crowd Simulation - Bikramjit Banerjee; Ahmed Abukmail; Landon Kraemer (22st International Workshop on Principles of Advanced and Distributed Simulation, PADS 2008, Roma, Italy, June 3-6, 2008, 2008)

Generalized multiagent learning with performance bound - Bikramjit Banerjee; Jing Peng (Auton. Agents Multi Agent Syst., 2007)

General Game Learning Using Knowledge Transfer - Bikramjit Banerjee; Peter Stone (IJCAI 2007, Proceedings of the 20th International Joint Conference on Artificial Intelligence, Hyderabad, India, January 6-12, 2007, 2007)

Reactivity and Safe Learning in Multi-Agent Systems - Bikramjit Banerjee; Jing Peng (Adapt. Behav., 2006)

RV\(_sigma(t)\): a unifying approach to performance and convergence in online multiagent learning - Bikramjit Banerjee; Jing Peng (5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), Hakodate, Japan, May 8-12, 2006, 2006)

Efficient No-Regret Multiagent Learning - Bikramjit Banerjee; Jing Peng (Proceedings, The Twentieth National Conference on Artificial Intelligence and the Seventeenth Innovative Applications of Artificial Intelligence Conference, July 9-13, 2005, Pittsburgh, Pennsylvania, USA, 2005)

Efficient learning of multi-step best response - Bikramjit Banerjee; Jing Peng (4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), July 25-29, 2005, Utrecht, The Netherlands, 2005)

On the performance of on-line concurrent reinforcement learners - Bikramjit Banerjee (4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), July 25-29, 2005, Utrecht, The Netherlands, 2005)

Unifying Convergence and No-Regret in Multiagent Learning - Bikramjit Banerjee; Jing Peng (Learning and Adaption in Multi-Agent Systems, First International Workshop, LAMAS 2005, Utrecht, The Netherlands, July 25, 2005, Revised Selected Papers, 2005)

On-policy concurrent reinforcement learning - Bikramjit Banerjee; Sandip Sen; Jing Peng (J. Exp. Theor. Artif. Intell., 2004)

Performance Bounded Reinforcement Learning in Strategic Interactions - Bikramjit Banerjee; Jing Peng (Proceedings of the Nineteenth National Conference on Artificial Intelligence, Sixteenth Conference on Innovative Applications of Artificial Intelligence, July 25-29, 2004, San Jose, California, USA, 2004)

The Role of Reactivity in Multiagent Learning - Bikramjit Banerjee; Jing Peng (3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), 19-23 August 2004, New York, NY, USA, 2004)

Adaptive policy gradient in multiagent learning - Bikramjit Banerjee; Jing Peng (The Second International Joint Conference on Autonomous Agents & Multiagent Systems, AAMAS 2003, July 14-18, 2003, Melbourne, Victoria, Australia, Proceedings, 2003)

Convergent Gradient Ascent in General-Sum Games - Bikramjit Banerjee; Jing Peng (Machine Learning: ECML 2002, 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002, Proceedings, 2002)

Kernel Index for Relevance feedback Retrieval - Jing Peng; Bikramjit Banerjee; Douglas R. Heisterkamp (FSDK'02, Proceedings of the 1st International Conference on Fuzzy Systems and Knowledge Discovery: Computational Intelligence for the E-Age, 2 Volumes, November 18-22, 2002, Orchid Country Club, Singapore, 2002)

Fast Concurrent Reinforcement Learners - Bikramjit Banerjee; Sandip Sen; Jing Peng (Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, IJCAI 2001, Seattle, Washington, USA, August 4-10, 2001, 2001)

Mining user session data to facilitate user interaction with a customer service knowledge base in RightNow Web - Doug Warner; J. Neal Richter; Stephen D. Durbin; Bikramjit Banerjee (Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, San Francisco, CA, USA, August 26-29, 2001, 2001)

Using Bayesian Networks to Model Agent Relationships - Bikramjit Banerjee; Anish Biswas; Manisha Mundhe; Sandip Debnath; Sandip Sen (Appl. Artif. Intell., 2000)

Learning Mutual Trust - Rajatish Mukherjee; Bikramjit Banerjee; Sandip Sen (Proceedings of the Fourth International Conference on Autonomous Agents, AGENTS 2000, Barcelona, Catalonia, Spain, June 3-7, 2000, 2000)

Selecting partners - Bikramjit Banerjee; Sandip Sen (Proceedings of the Fourth International Conference on Autonomous Agents, AGENTS 2000, Barcelona, Catalonia, Spain, June 3-7, 2000, 2000)

Combining Multiple Perspectives - Bikramjit Banerjee; Sandip Debnath; Sandip Sen (Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29 - July 2, 2000, 2000)