Bikramjit Banerjee

Bikramjit Banerjee, Jing Peng, Jing Peng, 2004, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004..

Cooperative-Competitive Reinforcement Learning with History-Dependent Rewards pdf

Bikramjit Banerjee, Prashant Doshi, Keyang He, 2020, AAMAS.

Solving Finite Horizon Decentralized POMDPs by Distributed Reinforcement Learning

Bikramjit Banerjee, Landon Kraemer, Jeremy Lyle, 2012 .

Reinforcement Learning in Partially Observable Multiagent Settings: Monte Carlo Exploring Policies with PAC Bounds

Bikramjit Banerjee, Prashant Doshi, Roi Ceren, 2016, AAMAS.

Multirobot Systems

Bikramjit Banerjee, Peter Stone, Prithviraj Dasgupta, 2017, IEEE Intell. Syst..

Stackelberg Surveillance

Bikramjit Banerjee, Landon Kraemer, 2015, Informatica.

On the performance of on-line concurrent reinforcement learners

Bikramjit Banerjee, 2005, AAMAS '05.

Deconstructing a Neural Network

Bikramjit Banerjee, Patrick Moghames, Bikramjit Banerjee, 2008 .

Parallel active filter system implementation and design issues for utility interface of adjustable speed drive systems

Bikramjit Banerjee, Subhashish Bhattacharya, Deepak Divan, 1996, IAS '96. Conference Record of the 1996 IEEE Industry Applications Conference Thirty-First IAS Annual Meeting.

Multi-agent reinforcement learning as a rehearsal for decentralized planning

Bikramjit Banerjee, Landon Kraemer, Landon Kraemer, 2016, Neurocomputing.

Performance Bounded Reinforcement Learning in Strategic Interactions

Bikramjit Banerjee, Jing Peng, Jing Peng, 2004, AAAI.

Adaptive policy gradient in multiagent learning

Bikramjit Banerjee, Jing Peng, Jing Peng, 2003, AAMAS '03.

RVσ(t): a unifying approach to performance and convergence in online multiagent learning

Bikramjit Banerjee, Jing Peng, 2006, AAMAS '06.

Autonomous Acquisition of Behavior Trees for Robot Control

Bikramjit Banerjee, Bikramjit Banerjee, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Action discovery for reinforcement learning

Bikramjit Banerjee, Landon Kraemer, Landon Kraemer, 2010, AAMAS.

Learning Mutual Trust

Bikramjit Banerjee, Sandip Sen, Rajatish Mukherjee, 2000, Trust in Cyber-societies.

Fast a* with Iterative Resolution for Navigation

Bikramjit Banerjee, Kyle Walsh, 2010, Int. J. Artif. Intell. Tools.

FUZZY ADAPTIVE CLUSTERING AND CLASSIFICATION FOR BROWSABLE DOCUMENT DIRECTORIES

Bikramjit Banerjee, Stephen D. Durbin, Doug Warner, 2002 .

Congestion Avoidance in Multi-Agent-based Egress Simulation

Bikramjit Banerjee, Matthew Bennett, Mike Johnson, 2008, IC-AI.

Reactivity and Safe Learning in Multi-Agent Systems

Bikramjit Banerjee, Jing Peng, Jing Peng, 2006, Adapt. Behav..

Generalized multiagent learning with performance bound

Bikramjit Banerjee, Jing Peng, Jing Peng, 2007, Autonomous Agents and Multi-Agent Systems.

Concurrent reinforcement learning as a rehearsal for decentralized planning under uncertainty

Bikramjit Banerjee, Landon Kraemer, Landon Kraemer, 2013, AAMAS.

Action Discovery for Single and Multi-Agent Reinforcement Learning

Bikramjit Banerjee, Landon Kraemer, Landon Kraemer, 2011, Adv. Complex Syst..

Multi-Agent Plan Recognition: Formalization and Algorithms

Bikramjit Banerjee, Landon Kraemer, Jeremy Lyle, 2010, AAAI.

Combining Multiple Perspectives

Bikramjit Banerjee, Sandip Debnath, Sandip Sen, 2000, ICML.

Efficient context free parsing of multi-agent activities for team and plan recognition

Bikramjit Banerjee, Landon Kraemer, Jeremy Lyle, 2012, AAMAS.

Particle Filtering for Model-Based Anomaly Detection in Sensor Networks

Bikramjit Banerjee, Wanda Solano, Landon Kraemer, 2012 .

The complexity of multi-agent plan recognition

Bikramjit Banerjee, Landon Kraemer, Jeremy Lyle, 2014, Autonomous Agents and Multi-Agent Systems.

Sample Bounded Distributed Reinforcement Learning for Decentralized POMDPs

Bikramjit Banerjee, Landon Kraemer, Jeremy Lyle, 2012, AAAI.

Reinforcement Learning of Informed Initial Policies for Decentralized Planning

Bikramjit Banerjee, Landon Kraemer, Landon Kraemer, 2015, TAAS.

Convergent Gradient Ascent in General-Sum Games

Bikramjit Banerjee, Jing Peng, 2002, ECML.

Strategic best-response learning in multiagent systems

Bikramjit Banerjee, Jing Peng, Jing Peng, 2012, J. Exp. Theor. Artif. Intell..

Selecting partners

Bikramjit Banerjee, Sandip Sen, S. Sen, 2000, AGENTS '00.

Validation of agent based crowd egress simulation

Bikramjit Banerjee, Landon Kraemer, 2010, AAMAS.

Kernel Index for Relevance feedback Retrieval

Bikramjit Banerjee, Jing Peng, Douglas R. Heisterkamp, 2002, International Conference on Fuzzy Systems and Knowledge Discovery.

Unifying Convergence and No-Regret in Multiagent Learning

Bikramjit Banerjee, Jing Peng, Jing Peng, 2005, LAMAS.

Detection of Plan Deviation in Multi-Agent Systems

Bikramjit Banerjee, Steven Loscalzo, Daniel Lucas Thompson, 2016, AAAI.

Multiagent Path Finding With Persistence Conflicts

Bikramjit Banerjee, Caleb E. Davis, 2017, IEEE Transactions on Computational Intelligence and AI in Games.

Model-Free IRL Using Maximum Likelihood Estimation

Bikramjit Banerjee, Prashant Doshi, Vinamra Jain, 2019, AAAI.

On-policy concurrent reinforcement learning

Bikramjit Banerjee, Sandip Sen, Jing Peng, 2004, J. Exp. Theor. Artif. Intell..

Rehearsal Based Multi-Agent Reinforcement Learning of Decentralized Plans

Bikramjit Banerjee, Landon Kraemer, Landon Kraemer, 2013 .

Evaluation and Comparison of Multi-agent Based Crowd Simulation Systems

Bikramjit Banerjee, Landon Kraemer, 2010, AGS.

Efficient learning of multi-step best response

Bikramjit Banerjee, Jing Peng, Jing Peng, 2005, AAMAS '05.

Human–agent transfer from observations

Bikramjit Banerjee, Sneha Racharla, Bikramjit Banerjee, 2020, The Knowledge Engineering Review.

Search Performance of Multi-Agent Plan Recognition in a General Model

Bikramjit Banerjee, Landon Kraemer, Landon Kraemer, 2010, Plan, Activity, and Intent Recognition.

Advancing the Layered Approach to Agent-Based Crowd Simulation

Bikramjit Banerjee, Landon Kraemer, Ahmed Abukmail, 2008, 2008 22nd Workshop on Principles of Advanced and Distributed Simulation.

A Framework and Method for Online Inverse Reinforcement Learning pdf

Bikramjit Banerjee, Prashant Doshi, Saurabh Arora, 2018, ArXiv.

PALO bounds for reinforcement learning in partially observable stochastic games

Bikramjit Banerjee, Prashant Doshi, Roi Ceren, 2021, Neurocomputing.

Particle Filtering for Diagnosis and Prognosis of Anomalies in Rocket Engine Tests

Bikramjit Banerjee, Wanda Solano, Landon Kraemer, 2011 .

General Game Learning Using Knowledge Transfer

Bikramjit Banerjee, Peter Stone, P. Stone, 2007, IJCAI.

Pruning for Monte Carlo Distributed Reinforcement Learning in Decentralized POMDPs

Bikramjit Banerjee, Bikramjit Banerjee, 2013, AAAI.

Team learning from human demonstration with coordination confidence

Bikramjit Banerjee, Matthew E. Taylor, Syamala Vittanala, 2019, The Knowledge Engineering Review.

Concurrent Learning of Control in Multi-agent Sequential Decision Tasks

Bikramjit Banerjee, 2018 .

Coalition structure generation in multi-agent systems with mixed externalities

Bikramjit Banerjee, Landon Kraemer, Landon Kraemer, 2010, AAMAS.

Many Agent Reinforcement Learning Under Partial Observability pdf

Bikramjit Banerjee, Prashant Doshi, Keyang He, 2021, ArXiv.

I2RL: online inverse reinforcement learning under occlusion

Bikramjit Banerjee, Prashant Doshi, Saurabh Arora, 2019, Autonomous Agents and Multi-Agent Systems.

Reinforcement learning as a rehearsal for swarm foraging

Bikramjit Banerjee, Trung Nguyen, Bikramjit Banerjee, 2021, Swarm Intell..

Min-Max Entropy Inverse RL of Multiple Tasks

Bikramjit Banerjee, Prashant Doshi, Saurabh Arora, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Informed Initial Policies for Learning in Finite Horizon Dec-POMDPs

Bikramjit Banerjee, Landon Kraemer, Landon Kraemer, 2012 .

Countering Deception in Multiagent Reinforcement Learning

Bikramjit Banerjee, Jing Peng, Jing Peng, 2003 .

Reinforcement Learning with Action Discovery

Bikramjit Banerjee, Landon Kraemer, Landon Kraemer, 2009 .