Banerjee, Bikramjit

18 publications

UAI 2025 Adaptive Human-Robot Collaboration Using Type-Based IRL Prasanth Sengadu Suresh, Prashant Doshi, Bikramjit Banerjee
TMLR 2025 Quasipseudometric Value Functions with Dense Rewards Khadichabonu Valieva, Bikramjit Banerjee
CoRL 2022 Online Inverse Reinforcement Learning with Learned Observation Model Saurabh Arora, Prashant Doshi, Bikramjit Banerjee
UAI 2022 Reinforcement Learning in Many-Agent Settings Under Partial Observability Keyang He, Prashant Doshi, Bikramjit Banerjee
AAAI 2019 Model-Free IRL Using Maximum Likelihood Estimation Vinamra Jain, Prashant Doshi, Bikramjit Banerjee
AAAI 2016 Detection of Plan Deviation in Multi-Agent Systems Bikramjit Banerjee, Steven Loscalzo, Daniel Lucas Thompson
AAAI 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
AAAI 2013 Pruning for Monte Carlo Distributed Reinforcement Learning in Decentralized POMDPs Bikramjit Banerjee
AAAI 2012 Informed Initial Policies for Learning in Dec-POMDPs Landon Kraemer, Bikramjit Banerjee
AAAI 2012 Sample Bounded Distributed Reinforcement Learning for Decentralized POMDPs Bikramjit Banerjee, Jeremy Lyle, Landon Kraemer, Rajesh Yellamraju
AAAI 2011 Branch and Price for Multi-Agent Plan Recognition Bikramjit Banerjee, Landon Kraemer
AAAI 2010 Multi-Agent Plan Recognition: Formalization and Algorithms Bikramjit Banerjee, Landon Kraemer, Jeremy Lyle
IJCAI 2007 General Game Learning Using Knowledge Transfer Bikramjit Banerjee, Peter Stone
AAAI 2005 Efficient No-Regret Multiagent Learning Bikramjit Banerjee, Jing Peng
AAAI 2004 Performance Bounded Reinforcement Learning in Strategic Interactions Bikramjit Banerjee, Jing Peng
ECML-PKDD 2002 Convergent Gradient Ascent in General-Sum Games Bikramjit Banerjee, Jing Peng
IJCAI 2001 Fast Concurrent Reinforcement Learners Bikramjit Banerjee, Sandip Sen, Jing Peng
ICML 2000 Combining Multiple Perspectives Bikramjit Banerjee, Sandip Debnath, Sandip Sen