Name
Affiliation
Papers
BIKRAMJIT BANERJEE
Mathematical & Computer Sciences Department, University of Tulsa
56
Collaborators
Citations 
PageRank 
38
284
32.63
Referers 
Referees 
References 
549
401
440
Search Limit
100549
Title
Citations
PageRank
Year
Reinforcement learning in many-agent settings under partial observability.00.342022
Cooperative-Competitive Reinforcement Learning with History-Dependent Rewards00.342021
Min-Max Entropy Inverse RL of Multiple Tasks00.342021
I2rl: Online Inverse Reinforcement Learning Under Occlusion00.342021
PALO bounds for reinforcement learning in partially observable stochastic games00.342021
Online Inverse Reinforcement Learning Under Occlusion00.342019
Model-Free IRL using Maximum Likelihood Estimation00.342019
A Framework and Method for Online Inverse Reinforcement Learning.00.342018
Autonomous Acquisition Of Behavior Trees For Robot Control40.432018
Multirobot Systems.00.342017
Multiagent Path Finding With Persistence Conflicts00.342017
Exact and Heuristic Algorithms for Risk-Aware Stochastic Physical Search.00.342017
Reinforcement Learning in Partially Observable Multiagent Settings: Monte Carlo Exploring Policies with PAC Bounds.20.372016
Multi-agent reinforcement learning as a rehearsal for decentralized planning.190.872016
Detection of Plan Deviation in Multi-Agent Systems.10.352016
The complexity of multi-agent plan recognition30.382015
Stackelberg Surveillance.00.342015
Reinforcement Learning of Informed Initial Policies for Decentralized Planning.10.342014
Concurrent reinforcement learning as a rehearsal for decentralized planning under uncertainty10.372013
Pruning for Monte Carlo Distributed Reinforcement Learning in Decentralized POMDPs.10.352013
Informed Initial Policies for Learning in Dec-POMDPs.30.452012
Efficient context free parsing of multi-agent activities for team and plan recognition00.342012
Sample Bounded Distributed Reinforcement Learning for Decentralized POMDPs.90.552012
Efficient context free parsing of multi-agent activities for team and plan recognition00.342012
Strategic best-response learning in multiagent systems.10.402012
Branch and Price for Multi-Agent Plan Recognition.00.342011
Adaptive multi-robot team reconfiguration using a policy-reuse reinforcement learning approach20.382011
Action Discovery for Single and Multi-Agent Reinforcement Learning10.352011
Search Performance of Multi-Agent Plan Recognition in a General Model.00.342010
Fast A* With Iterative Resolution For Navigation30.412010
Evaluation and comparison of multi-agent based crowd simulation systems50.462010
Validation of agent based crowd egress simulation30.442010
Coalition structure generation in multi-agent systems with mixed externalities150.782010
Action discovery for reinforcement learning10.352010
Layered Intelligence for Agent-based Crowd Simulation100.892009
Congestion Avoidance in Multi-Agent-based Egress Simulation20.432008
Advancing the Layered Approach to Agent-Based Crowd Simulation182.112008
General game learning using knowledge transfer452.952007
Generalized multiagent learning with performance bound110.562007
Reactivity and Safe Learning in Multi-Agent Systems00.342006
RVσ(t): a unifying approach to performance and convergence in online multiagent learning30.472006
Efficient no-regret multiagent learning110.912005
On the performance of on-line concurrent reinforcement learners00.342005
Efficient learning of multi-step best response141.102005
Unifying convergence and no-regret in multiagent learning00.342005
Performance bounded reinforcement learning in strategic interactions211.162004
The Role of Reactivity in Multiagent Learning30.392004
On-policy concurrent reinforcement learning30.392004
Adaptive policy gradient in multiagent learning140.952003
Kernel Index for Relevance feedback Retrieval00.342002
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