Bikramjit Banerjee

72 papers A* 15A 16B 2Misc 2Journal 29Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Adaptive Human-Robot Collaboration using Type-Based IRL. UAI Prasanth Sengadu Suresh, Prashant Doshi, Bikramjit Banerjee
2025	J	`jnl`	Quasipseudometric Value Functions with Dense Rewards. Trans. Mach. Learn. Res. Khadichabonu Valieva, Bikramjit Banerjee
2024	J	`jnl`	Modeling and reinforcement learning in partially observable many-agent systems. Auton. Agents Multi Agent Syst. Keyang He, Prashant Doshi, Bikramjit Banerjee
2024	J	`jnl`	Quasimetric Value Functions with Dense Rewards. CoRR Khadichabonu Valieva, Bikramjit Banerjee
2024	J	`jnl`	Reinforcement actor-critic learning as a rehearsal in MicroRTS. Knowl. Eng. Rev. Shiron Manandhar, Bikramjit Banerjee
2024	B	`conf`	Robust Individualistic Learning in Many-Agent Systems. PRIMA Keyang He, Prashant Doshi, Bikramjit Banerjee
2023	J	`jnl`	Latent Interactive A2C for Improved RL in Open Many-Agent Systems. CoRR Keyang He, Prashant Doshi, Bikramjit Banerjee
2022	Misc	`conf`	Online Inverse Reinforcement Learning with Learned Observation Model. CoRL Saurabh Arora, Prashant Doshi, Bikramjit Banerjee
2022	J	`jnl`	Reinforcement learning as a rehearsal for swarm foraging. Swarm Intell. Trung Nguyen, Bikramjit Banerjee
2022	A	`conf`	Reinforcement learning in many-agent settings under partial observability. UAI Keyang He, Prashant Doshi, Bikramjit Banerjee
2021	A	`conf`	Cooperative-Competitive Reinforcement Learning with History-Dependent Rewards. AAMAS Keyang He, Bikramjit Banerjee, Prashant Doshi
2021	J	`jnl`	Human-agent transfer from observations. Knowl. Eng. Rev. Bikramjit Banerjee, Sneha Racharla
2021	J	`jnl`	I2RL: online inverse reinforcement learning under occlusion. Auton. Agents Multi Agent Syst. Saurabh Arora, Prashant Doshi, Bikramjit Banerjee
2021	J	`jnl`	Many Agent Reinforcement Learning Under Partial Observability. CoRR Keyang He, Prashant Doshi, Bikramjit Banerjee
2021	A*	`conf`	Min-Max Entropy Inverse RL of Multiple Tasks. ICRA Saurabh Arora, Prashant Doshi, Bikramjit Banerjee
2021	J	`jnl`	PALO bounds for reinforcement learning in partially observable stochastic games. Neurocomputing Roi Ceren, Keyang He, Prashant Doshi, Bikramjit Banerjee
2020	J	`jnl`	Cooperative-Competitive Reinforcement Learning with History-Dependent Rewards. CoRR Keyang He, Bikramjit Banerjee, Prashant Doshi
2020	J	`jnl`	Maximum Entropy Multi-Task Inverse RL. CoRR Saurabh Arora, Bikramjit Banerjee, Prashant Doshi
2019	A*	`conf`	Model-Free IRL Using Maximum Likelihood Estimation. AAAI Vinamra Jain, Prashant Doshi, Bikramjit Banerjee
2019	A	`conf`	Online Inverse Reinforcement Learning Under Occlusion. AAMAS Saurabh Arora, Prashant Doshi, Bikramjit Banerjee
2019	J	`jnl`	Team learning from human demonstration with coordination confidence. Knowl. Eng. Rev. Bikramjit Banerjee, Syamala Vittanala, Matthew Edmund Taylor
2018	J	`jnl`	A Framework and Method for Online Inverse Reinforcement Learning. CoRR Saurabh Arora, Prashant Doshi, Bikramjit Banerjee
2018	A	`conf`	Autonomous Acquisition of Behavior Trees for Robot Control. IROS Bikramjit Banerjee
2017	J	`jnl`	Exact and Heuristic Algorithms for Risk-Aware Stochastic Physical Search. Comput. Intell. Daniel S. Brown, Jeffrey Hudack, Nathaniel Gemelli, Bikramjit Banerjee
2017	J	`jnl`	Multiagent Path Finding With Persistence Conflicts. IEEE Trans. Comput. Intell. AI Games Bikramjit Banerjee, Caleb E. Davis
2017	J	`jnl`	Multirobot Systems. IEEE Intell. Syst. Tsz-Chiu Au, Bikramjit Banerjee, Prithviraj Dasgupta, Peter Stone
2016	A*	`conf`	Detection of Plan Deviation in Multi-Agent Systems. AAAI Bikramjit Banerjee, Steven Loscalzo, Daniel Lucas Thompson
2016	J	`jnl`	Multi-agent reinforcement learning as a rehearsal for decentralized planning. Neurocomputing Landon Kraemer, Bikramjit Banerjee
2016	A	`conf`	Reinforcement Learning in Partially Observable Multiagent Settings: Monte Carlo Exploring Policies with PAC Bounds. AAMAS Roi Ceren, Prashant Doshi, Bikramjit Banerjee
2015	J	`jnl`	Stackelberg Surveillance. Informatica (Slovenia) Bikramjit Banerjee, Landon Kraemer
2015	J	`jnl`	The complexity of multi-agent plan recognition. Auton. Agents Multi Agent Syst. Bikramjit Banerjee, Jeremy Lyle, Landon Kraemer
2014	A*	`conf`	Model AI Assignments 2014. AAAI Todd W. Neller, Laura E. Brown, Roger L. West, James E. Heliotis, Sean Strout, Ivona Bezáková, Bikramjit Banerjee, Daniel Lucas Thompson
2014	J	`jnl`	Reinforcement Learning of Informed Initial Policies for Decentralized Planning. ACM Trans. Auton. Adapt. Syst. Landon Kraemer, Bikramjit Banerjee
2013	A	`conf`	Concurrent reinforcement learning as a rehearsal for decentralized planning under uncertainty. AAMAS Landon Kraemer, Bikramjit Banerjee
2013	A*	`conf`	Pruning for Monte Carlo Distributed Reinforcement Learning in Decentralized POMDPs. AAAI Bikramjit Banerjee
2012	A	`conf`	Efficient context free parsing of multi-agent activities for team and plan recognition. AAMAS Bikramjit Banerjee, Jeremy Lyle, Landon Kraemer
2012	A*	`conf`	Informed Initial Policies for Learning in Dec-POMDPs. AAAI Landon Kraemer, Bikramjit Banerjee
2012	A*	`conf`	Sample Bounded Distributed Reinforcement Learning for Decentralized POMDPs. AAAI Bikramjit Banerjee, Jeremy Lyle, Landon Kraemer, Rajesh Yellamraju
2012	J	`jnl`	Strategic best-response learning in multiagent systems. J. Exp. Theor. Artif. Intell. Bikramjit Banerjee, Jing Peng
2011	J	`jnl`	Action Discovery for Single and Multi-Agent Reinforcement Learning. Adv. Complex Syst. Bikramjit Banerjee, Landon Kraemer
2011	—	`conf`	Adaptive Multi-robot Team Reconfiguration Using a Policy-Reuse Reinforcement Learning Approach. AAMAS Workshops Prithviraj Dasgupta, Ke Cheng, Bikramjit Banerjee
2011	A*	`conf`	Branch and Price for Multi-Agent Plan Recognition. AAAI Bikramjit Banerjee, Landon Kraemer
2010	A	`conf`	Action discovery for reinforcement learning. AAMAS Bikramjit Banerjee, Landon Kraemer
2010	A	`conf`	Coalition structure generation in multi-agent systems with mixed externalities. AAMAS Bikramjit Banerjee, Landon Kraemer
2010	—	`conf`	Evaluation and Comparison of Multi-agent Based Crowd Simulation Systems. AGS Bikramjit Banerjee, Landon Kraemer
2010	J	`jnl`	Fast a* with Iterative Resolution for Navigation. Int. J. Artif. Intell. Tools Kyle Walsh, Bikramjit Banerjee
2010	A*	`conf`	Multi-Agent Plan Recognition: Formalization and Algorithms. AAAI Bikramjit Banerjee, Landon Kraemer, Jeremy Lyle
2010	—	`conf`	Search Performance of Multi-Agent Plan Recognition in a General Model. Plan, Activity, and Intent Recognition Bikramjit Banerjee, Landon Kraemer
2010	A	`conf`	Validation of agent based crowd egress simulation. AAMAS Bikramjit Banerjee, Landon Kraemer
2009	J	`jnl`	Layered Intelligence for Agent-based Crowd Simulation. Simul. Bikramjit Banerjee, Ahmed Abukmail, Landon Kraemer
2008	B	`conf`	Advancing the Layered Approach to Agent-Based Crowd Simulation. PADS Bikramjit Banerjee, Ahmed Abukmail, Landon Kraemer
2008	Misc	`conf`	Congestion Avoidance in Multi-Agent-based Egress Simulation. IC-AI Bikramjit Banerjee, Matthew Bennett, Mike Johnson, Adel Ali
2007	A*	`conf`	General Game Learning Using Knowledge Transfer. IJCAI Bikramjit Banerjee, Peter Stone
2007	J	`jnl`	Generalized multiagent learning with performance bound. Auton. Agents Multi Agent Syst. Bikramjit Banerjee, Jing Peng
2006	A	`conf`	RV AAMAS Bikramjit Banerjee, Jing Peng
2006	J	`jnl`	Reactivity and Safe Learning in Multi-Agent Systems. Adapt. Behav. Bikramjit Banerjee, Jing Peng
2005	A*	`conf`	Efficient No-Regret Multiagent Learning. AAAI Bikramjit Banerjee, Jing Peng
2005	A	`conf`	Efficient learning of multi-step best response. AAMAS Bikramjit Banerjee, Jing Peng
2005	A	`conf`	On the performance of on-line concurrent reinforcement learners. AAMAS Bikramjit Banerjee
2005	—	`conf`	Unifying Convergence and No-Regret in Multiagent Learning. LAMAS Bikramjit Banerjee, Jing Peng
2004	J	`jnl`	On-policy concurrent reinforcement learning. J. Exp. Theor. Artif. Intell. Bikramjit Banerjee, Sandip Sen, Jing Peng
2004	A*	`conf`	Performance Bounded Reinforcement Learning in Strategic Interactions. AAAI Bikramjit Banerjee, Jing Peng
2004	A	`conf`	The Role of Reactivity in Multiagent Learning. AAMAS Bikramjit Banerjee, Jing Peng
2003	A	`conf`	Adaptive policy gradient in multiagent learning. AAMAS Bikramjit Banerjee, Jing Peng
2002	—	`conf`	Convergent Gradient Ascent in General-Sum Games. ECML Bikramjit Banerjee, Jing Peng
2002	—	`conf`	Kernel Index for Relevance feedback Retrieval. FSKD Jing Peng, Bikramjit Banerjee, Douglas R. Heisterkamp
2001	A*	`conf`	Fast Concurrent Reinforcement Learners. IJCAI Bikramjit Banerjee, Sandip Sen, Jing Peng
2001	A*	`conf`	Mining user session data to facilitate user interaction with a customer service knowledge base in RightNow Web. KDD Doug Warner, J. Neal Richter, Stephen D. Durbin, Bikramjit Banerjee
2000	A*	`conf`	Combining Multiple Perspectives. ICML Bikramjit Banerjee, Sandip Debnath, Sandip Sen
2000	—	`conf`	Learning Mutual Trust. Trust in Cyber-societies Rajatish Mukherjee, Bikramjit Banerjee, Sandip Sen
2000	—	`conf`	Selecting partners. Agents Bikramjit Banerjee, Sandip Sen
2000	J	`jnl`	Using Bayesian Networks to Model Agent Relationships. Appl. Artif. Intell. Bikramjit Banerjee, Anish Biswas, Manisha Mundhe, Sandip Debnath, Sandip Sen