Shimon Whiteson

	2009
19		Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J. Spaan: Lossless clustering of histories in decentralized POMDPs. AAMAS (1) 2009: 577-584
18		Rogier Koppejan, Shimon Whiteson: Neuroevolutionary reinforcement learning for generalized helicopter control. GECCO 2009: 145-152
	2008
17		Frans A. Oliehoek, Matthijs T. J. Spaan, Shimon Whiteson, Nikos A. Vlassis: Exploiting locality of interaction in factored Dec-POMDPs. AAMAS (1) 2008: 517-524
16		Lior Kuyer, Shimon Whiteson, Bram Bakker, Nikos A. Vlassis: Multiagent Reinforcement Learning for Urban Traffic Control Using Coordination Graphs. ECML/PKDD (1) 2008: 656-671
	2007
15		Matthew E. Taylor, Shimon Whiteson, Peter Stone: Temporal Difference and Policy Search Methods for Reinforcement Learning: An Empirical Comparison. AAAI 2007: 1675-1678
14		Shimon Whiteson, Daniel Whiteson: Stochastic Optimization for Collision Selection in High Energy Physics. AAAI 2007: 1819-1815
13		Matthew E. Taylor, Shimon Whiteson, Peter Stone: Transfer via inter-task mappings in policy search reinforcement learning. AAMAS 2007: 37
	2006
12		Shimon Whiteson, Peter Stone: Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning. AAAI 2006
11		Matthew E. Taylor, Shimon Whiteson, Peter Stone: Comparing evolutionary and temporal difference methods in a reinforcement learning domain. GECCO 2006: 1321-1328
10		Shimon Whiteson, Peter Stone: On-line evolutionary computation for reinforcement learning in stochastic domains. GECCO 2006: 1577-1584
9		Shimon Whiteson, Peter Stone: Evolutionary Function Approximation for Reinforcement Learning. Journal of Machine Learning Research 7: 877-917 (2006)
	2005
8		Shimon Whiteson: Improving Reinforcement Learning Function Approximators via Neuroevolution. AAAI 2005: 1666-1667
7		Shimon Whiteson: Improving reinforcement learning function approximators via neuroevolution. AAMAS 2005: 1386
6		Shimon Whiteson, Peter Stone, Kenneth O. Stanley, Risto Miikkulainen, Nate Kohl: Automatic feature selection in neuroevolution. GECCO 2005: 1225-1232
5		Shimon Whiteson, Nate Kohl, Risto Miikkulainen, Peter Stone: Evolving Soccer Keepaway Players Through Task Decomposition. Machine Learning 59(1-2): 5-30 (2005)
	2004
4		Shimon Whiteson, Peter Stone: Towards Autonomic Computing: Adaptive Job Routing and Scheduling. AAAI 2004: 916-922
3		Shimon Whiteson, Peter Stone: Towards Autonomic Computing: Adaptive Network Routing and Scheduling. ICAC 2004: 286-287
	2003
2		Shimon Whiteson, Peter Stone: Concurrent layered learning. AAMAS 2003: 193-200
1		Shimon Whiteson, Nate Kohl, Risto Miikkulainen, Peter Stone: Evolving Keepaway Soccer Players through Task Decomposition. GECCO 2003: 356-368

Coauthor Index

1	Bram Bakker	[16]
2	Nate Kohl	[1] [5] [6]
3	Rogier Koppejan	[18]
4	Lior Kuyer	[16]
5	Risto Miikkulainen	[1] [5] [6]
6	Frans A. Oliehoek	[17] [19]
7	Matthijs T. J. Spaan	[17] [19]
8	Kenneth O. Stanley	[6]
9	Peter Stone	[1] [2] [3] [4] [5] [6] [9] [10] [11] [12] [13] [15]
10	Matthew E. Taylor	[11] [13] [15]
11	Nikos A. Vlassis	[16] [17]
12	Daniel Whiteson	[14]

Colors in the list of coauthors