Bikramjit Banerjee

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 26

Top Topics

Partial Observability

Maximum Entropy

Reinforcement Learning

Partially Observable

Top Venues

Auton. Agents Multi Agent Syst.

Publications

Keyang He, Prashant Doshi, Bikramjit Banerjee
Modeling and reinforcement learning in partially observable many-agent systems. Auton. Agents Multi Agent Syst. 38 (1) (2024)
Keyang He, Prashant Doshi, Bikramjit Banerjee
Latent Interactive A2C for Improved RL in Open Many-Agent Systems. CoRR (2023)
Trung Nguyen, Bikramjit Banerjee
Reinforcement learning as a rehearsal for swarm foraging. Swarm Intell. 16 (1) (2022)
Saurabh Arora, Prashant Doshi, Bikramjit Banerjee
Online Inverse Reinforcement Learning with Learned Observation Model. CoRL (2022)
Keyang He, Prashant Doshi, Bikramjit Banerjee
Reinforcement learning in many-agent settings under partial observability. UAI (2022)
Roi Ceren, Keyang He, Prashant Doshi, Bikramjit Banerjee
PALO bounds for reinforcement learning in partially observable stochastic games. Neurocomputing 420 (2021)
Keyang He, Prashant Doshi, Bikramjit Banerjee
Many Agent Reinforcement Learning Under Partial Observability. CoRR (2021)
Keyang He, Bikramjit Banerjee, Prashant Doshi
Cooperative-Competitive Reinforcement Learning with History-Dependent Rewards. AAMAS (2021)
Saurabh Arora, Prashant Doshi, Bikramjit Banerjee
Min-Max Entropy Inverse RL of Multiple Tasks. ICRA (2021)
Saurabh Arora, Prashant Doshi, Bikramjit Banerjee
I2RL: online inverse reinforcement learning under occlusion. Auton. Agents Multi Agent Syst. 35 (1) (2021)
Bikramjit Banerjee, Sneha Racharla
Human-agent transfer from observations. Knowl. Eng. Rev. 36 (2021)
Keyang He, Bikramjit Banerjee, Prashant Doshi
Cooperative-Competitive Reinforcement Learning with History-Dependent Rewards. CoRR (2020)
Saurabh Arora, Bikramjit Banerjee, Prashant Doshi
Maximum Entropy Multi-Task Inverse RL. CoRR (2020)
Vinamra Jain, Prashant Doshi, Bikramjit Banerjee
Model-Free IRL Using Maximum Likelihood Estimation. AAAI (2019)
Saurabh Arora, Prashant Doshi, Bikramjit Banerjee
Online Inverse Reinforcement Learning Under Occlusion. AAMAS (2019)
Bikramjit Banerjee, Syamala Vittanala, Matthew Edmund Taylor
Team learning from human demonstration with coordination confidence. Knowl. Eng. Rev. 34 (2019)
Saurabh Arora, Prashant Doshi, Bikramjit Banerjee
A Framework and Method for Online Inverse Reinforcement Learning. CoRR (2018)
Bikramjit Banerjee
Autonomous Acquisition of Behavior Trees for Robot Control. IROS (2018)
Tsz-Chiu Au, Bikramjit Banerjee, Prithviraj Dasgupta, Peter Stone
Multirobot Systems. IEEE Intell. Syst. 32 (6) (2017)
Bikramjit Banerjee, Caleb E. Davis
Multiagent Path Finding With Persistence Conflicts. IEEE Trans. Comput. Intell. AI Games 9 (4) (2017)
Daniel S. Brown, Jeffrey Hudack, Nathaniel Gemelli, Bikramjit Banerjee
Exact and Heuristic Algorithms for Risk-Aware Stochastic Physical Search. Comput. Intell. 33 (3) (2017)
Roi Ceren, Prashant Doshi, Bikramjit Banerjee
Reinforcement Learning in Partially Observable Multiagent Settings: Monte Carlo Exploring Policies with PAC Bounds. AAMAS (2016)
Bikramjit Banerjee, Steven Loscalzo, Daniel Lucas Thompson
Detection of Plan Deviation in Multi-Agent Systems. AAAI (2016)
Landon Kraemer, Bikramjit Banerjee
Multi-agent reinforcement learning as a rehearsal for decentralized planning. Neurocomputing 190 (2016)
Bikramjit Banerjee, Jeremy Lyle, Landon Kraemer
The complexity of multi-agent plan recognition. Auton. Agents Multi Agent Syst. 29 (1) (2015)
Bikramjit Banerjee, Landon Kraemer
Stackelberg Surveillance. Informatica (Slovenia) 39 (4) (2015)
Todd W. Neller, Laura E. Brown, Roger L. West, James E. Heliotis, Sean Strout, Ivona Bezáková, Bikramjit Banerjee, Daniel Lucas Thompson
Model AI Assignments 2014. AAAI (2014)
Landon Kraemer, Bikramjit Banerjee
Reinforcement Learning of Informed Initial Policies for Decentralized Planning. ACM Trans. Auton. Adapt. Syst. 9 (4) (2014)
Landon Kraemer, Bikramjit Banerjee
Concurrent reinforcement learning as a rehearsal for decentralized planning under uncertainty. AAMAS (2013)
Bikramjit Banerjee
Pruning for Monte Carlo Distributed Reinforcement Learning in Decentralized POMDPs. AAAI (2013)
Bikramjit Banerjee, Jeremy Lyle, Landon Kraemer, Rajesh Yellamraju
Sample Bounded Distributed Reinforcement Learning for Decentralized POMDPs. AAAI (2012)
Landon Kraemer, Bikramjit Banerjee
Informed Initial Policies for Learning in Dec-POMDPs. AAAI (2012)
Bikramjit Banerjee, Jing Peng
Strategic best-response learning in multiagent systems. J. Exp. Theor. Artif. Intell. 24 (2) (2012)
Bikramjit Banerjee, Jeremy Lyle, Landon Kraemer
Efficient context free parsing of multi-agent activities for team and plan recognition. AAMAS (2012)
Bikramjit Banerjee, Landon Kraemer
Branch and Price for Multi-Agent Plan Recognition. AAAI (2011)
Prithviraj Dasgupta, Ke Cheng, Bikramjit Banerjee
Adaptive Multi-robot Team Reconfiguration Using a Policy-Reuse Reinforcement Learning Approach. AAMAS Workshops (2011)
Bikramjit Banerjee, Landon Kraemer
Action Discovery for Single and Multi-Agent Reinforcement Learning. Adv. Complex Syst. 14 (2) (2011)
Bikramjit Banerjee, Landon Kraemer
Action discovery for reinforcement learning. AAMAS (2010)
Bikramjit Banerjee, Landon Kraemer
Evaluation and Comparison of Multi-agent Based Crowd Simulation Systems. AGS (2010)
Bikramjit Banerjee, Landon Kraemer
Validation of agent based crowd egress simulation. AAMAS (2010)
Kyle Walsh, Bikramjit Banerjee
Fast a* with Iterative Resolution for Navigation. Int. J. Artif. Intell. Tools 19 (1) (2010)
Bikramjit Banerjee, Landon Kraemer
Search Performance of Multi-Agent Plan Recognition in a General Model. Plan, Activity, and Intent Recognition (2010)
Bikramjit Banerjee, Landon Kraemer, Jeremy Lyle
Multi-Agent Plan Recognition: Formalization and Algorithms. AAAI (2010)
Bikramjit Banerjee, Landon Kraemer
Coalition structure generation in multi-agent systems with mixed externalities. AAMAS (2010)
Bikramjit Banerjee, Ahmed Abukmail, Landon Kraemer
Layered Intelligence for Agent-based Crowd Simulation. Simul. 85 (10) (2009)
Bikramjit Banerjee, Ahmed Abukmail, Landon Kraemer
Advancing the Layered Approach to Agent-Based Crowd Simulation. PADS (2008)
Bikramjit Banerjee, Matthew Bennett, Mike Johnson, Adel Ali
Congestion Avoidance in Multi-Agent-based Egress Simulation. IC-AI (2008)
Bikramjit Banerjee, Jing Peng
Generalized multiagent learning with performance bound. Auton. Agents Multi Agent Syst. 15 (3) (2007)
Bikramjit Banerjee, Peter Stone
General Game Learning Using Knowledge Transfer. IJCAI (2007)
Bikramjit Banerjee, Jing Peng
Reactivity and Safe Learning in Multi-Agent Systems. Adapt. Behav. 14 (4) (2006)
Bikramjit Banerjee, Jing Peng
: a unifying approach to performance and convergence in online multiagent learning. AAMAS (2006)
Bikramjit Banerjee, Jing Peng
Efficient learning of multi-step best response. AAMAS (2005)
Bikramjit Banerjee
On the performance of on-line concurrent reinforcement learners. AAMAS (2005)
Bikramjit Banerjee, Jing Peng
Efficient No-Regret Multiagent Learning. AAAI (2005)
Bikramjit Banerjee, Jing Peng
Unifying Convergence and No-Regret in Multiagent Learning. LAMAS (2005)
Bikramjit Banerjee, Jing Peng
Performance Bounded Reinforcement Learning in Strategic Interactions. AAAI (2004)
Bikramjit Banerjee, Sandip Sen, Jing Peng
On-policy concurrent reinforcement learning. J. Exp. Theor. Artif. Intell. 16 (4) (2004)
Bikramjit Banerjee, Jing Peng
The Role of Reactivity in Multiagent Learning. AAMAS (2004)
Bikramjit Banerjee, Jing Peng
Adaptive policy gradient in multiagent learning. AAMAS (2003)
Jing Peng, Bikramjit Banerjee, Douglas R. Heisterkamp
Kernel Index for Relevance feedback Retrieval. FSKD (2002)
Bikramjit Banerjee, Jing Peng
Convergent Gradient Ascent in General-Sum Games. ECML (2002)
Doug Warner, J. Neal Richter, Stephen D. Durbin, Bikramjit Banerjee
Mining user session data to facilitate user interaction with a customer service knowledge base in RightNow Web. KDD (2001)
Bikramjit Banerjee, Sandip Sen, Jing Peng
Fast Concurrent Reinforcement Learners. IJCAI (2001)
Bikramjit Banerjee, Anish Biswas, Manisha Mundhe, Sandip Debnath, Sandip Sen
Using Bayesian Networks to Model Agent Relationships. Appl. Artif. Intell. 14 (9) (2000)
Bikramjit Banerjee, Sandip Debnath, Sandip Sen
Combining Multiple Perspectives. ICML (2000)
Rajatish Mukherjee, Bikramjit Banerjee, Sandip Sen
Learning Mutual Trust. Trust in Cyber-societies (2000)
Bikramjit Banerjee, Sandip Sen
Selecting partners. Agents (2000)