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Landon Kraemer
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2010 – 2019
- 2016
- [j6]Landon Kraemer, Bikramjit Banerjee:
Multi-agent reinforcement learning as a rehearsal for decentralized planning. Neurocomputing 190: 82-94 (2016) - 2015
- [j5]Bikramjit Banerjee, Jeremy Lyle
, Landon Kraemer:
The complexity of multi-agent plan recognition. Auton. Agents Multi Agent Syst. 29(1): 40-72 (2015) - [j4]Bikramjit Banerjee, Landon Kraemer:
Stackelberg Surveillance. Informatica (Slovenia) 39(4) (2015) - 2014
- [j3]Landon Kraemer, Bikramjit Banerjee:
Reinforcement Learning of Informed Initial Policies for Decentralized Planning. ACM Trans. Auton. Adapt. Syst. 9(4): 18:1-18:32 (2014) - 2013
- [c13]Landon Kraemer, Bikramjit Banerjee:
Concurrent reinforcement learning as a rehearsal for decentralized planning under uncertainty. AAMAS 2013: 1291-1292 - [c12]Landon Kraemer:
Reinforcement learning for decentralized planning under uncertainty. AAMAS 2013: 1439-1440 - 2012
- [c11]Bikramjit Banerjee, Jeremy Lyle, Landon Kraemer, Rajesh Yellamraju:
Sample Bounded Distributed Reinforcement Learning for Decentralized POMDPs. AAAI 2012: 1256-1262 - [c10]Landon Kraemer, Bikramjit Banerjee:
Informed Initial Policies for Learning in Dec-POMDPs. AAAI 2012: 2433-2434 - [c9]Bikramjit Banerjee, Jeremy Lyle, Landon Kraemer:
Efficient context free parsing of multi-agent activities for team and plan recognition. AAMAS 2012: 1441-1442 - 2011
- [j2]Bikramjit Banerjee, Landon Kraemer:
Action Discovery for Single and Multi-Agent Reinforcement Learning. Adv. Complex Syst. 14(2): 279-305 (2011) - [c8]Bikramjit Banerjee, Landon Kraemer:
Branch and Price for Multi-Agent Plan Recognition. AAAI 2011: 601-607 - 2010
- [c7]Bikramjit Banerjee, Landon Kraemer:
Search Performance of Multi-Agent Plan Recognition in a General Model. Plan, Activity, and Intent Recognition 2010 - [c6]Bikramjit Banerjee, Landon Kraemer, Jeremy Lyle:
Multi-Agent Plan Recognition: Formalization and Algorithms. AAAI 2010: 1059-1064 - [c5]Bikramjit Banerjee, Landon Kraemer:
Evaluation and Comparison of Multi-agent Based Crowd Simulation Systems. AGS 2010: 53-66 - [c4]Bikramjit Banerjee, Landon Kraemer:
Coalition structure generation in multi-agent systems with mixed externalities. AAMAS 2010: 175-182 - [c3]Bikramjit Banerjee, Landon Kraemer:
Validation of agent based crowd egress simulation. AAMAS 2010: 1551-1552 - [c2]Bikramjit Banerjee, Landon Kraemer:
Action discovery for reinforcement learning. AAMAS 2010: 1585-1586
2000 – 2009
- 2009
- [j1]Bikramjit Banerjee, Ahmed Abukmail, Landon Kraemer:
Layered Intelligence for Agent-based Crowd Simulation. Simul. 85(10): 621-633 (2009) - 2008
- [c1]Bikramjit Banerjee, Ahmed Abukmail, Landon Kraemer:
Advancing the Layered Approach to Agent-Based Crowd Simulation. PADS 2008: 185-192
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