Alan Fern

	2011
71		Ethan W. Dereszynski, Jesse Hostetler, Alan Fern, Thomas G. Dietterich, Thao-Trang Hoang, Mark Udarbe: Learning Probabilistic Behavior Models in Real-Time Strategy Games. AIIDE 2011
70		William Brendel, Alan Fern, Sinisa Todorovic: Probabilistic event logic for interval-based event recognition. CVPR 2011: 3329-3336
69		Tim Bauer, Martin Erwig, Alan Fern, Jervis Pinto: Adaptation-Based Programming in Haskell DSL 2011: 1-23
68		Joseph Selman, Alan Fern: Learning First-Order Definite Theories via Object-Based Queries. ECML/PKDD (3) 2011: 159-174
67		Alan Fern, Paul Lewis: Ensemble Monte-Carlo Planning: An Empirical Study. ICAPS 2011
66		Joseph Selman, Mohamed R. Amer, Alan Fern, Sinisa Todorovic: PEL-CNF: Probabilistic event logic conjunctive normal form for video interpretation. ICCV Workshops 2011: 680-687
65		Pingan Zhu, Jervis Pinto, Alan Fern, Thinh Nguyen: Adaptation-based programming for network protocol design: An 802.11x case study (abstract). IPCCC 2011: 1-2
64		Javad Azimi, Alan Fern, Xiaoli Fern: Budgeted Optimization with Concurrent Stochastic-Duration Experiments. NIPS 2011: 1098-1106
63		Neville Mehta, Prasad Tadepalli, Alan Fern: Autonomous Learning of Action Models for Planning. NIPS 2011: 2465-2473
62		Tim Bauer, Martin Erwig, Alan Fern, Jervis Pinto: Adaptation-based programming in java. PEPM 2011: 81-90
61		David J. Stracuzzi, Alan Fern, Kamal Ali, Robin Hess, Jervis Pinto, Nan Li, Tolga Könik, Daniel G. Shapiro: An Application of Transfer to American Football: From Observation of Raw Video to Control in a Simulated Environment. AI Magazine 32(2): 107-125 (2011)
60		Alan Fern, Robert Givan, Jeffrey Mark Siskind: Specific-to-General Learning for Temporal Events with Application to Learning Event Definitions from Video CoRR abs/1106.4572: (2011)
59		Alan Fern, Robert Givan, Sung Wook Yoon: Approximate Policy Iteration with a Policy Language Bias: Solving Relational Markov Decision Processes CoRR abs/1109.2156: (2011)
58		Jervis Pinto, Alan Fern, Tim Bauer, Martin Erwig: Improving Policy Gradient Estimates with Influence Information. Journal of Machine Learning Research - Proceedings Track 20: 1-18 (2011)
57		Alan Fern, Roni Khardon, Prasad Tadepalli: The first learning track of the international planning competition. Machine Learning 84(1-2): 81-107 (2011)
56		Omar Alsaleh, Pavithra Venkatraman, Bechir Hamdaoui, Alan Fern: Enabling opportunistic and dynamic spectrum access through learning techniques. Wireless Communications and Mobile Computing 11(12): 1497-1506 (2011)
	2010
55		Aaron Wilson, Alan Fern, Prasad Tadepalli: Bayesian Policy Search for Multi-Agent Role Discovery. AAAI 2010
54		Javad Azimi, Xiaoli Fern, Alan Fern, Elizabeth Burrows, Frank Chaplen, Yanzhen Fan, Hong Liu, Jun Jaio, Rebecca Schaller: Myopic Policies for Budgeted Optimization with Constrained Experiments. AAAI 2010
53		Kshitij Judah, Saikat Roy, Alan Fern, Thomas G. Dietterich: Reinforcement Learning Via Practice and Critique Advice. AAAI 2010
52		Aaron Wilson, Alan Fern, Prasad Tadepalli: Bayesian role discovery for multi-agent reinforcement learning. AAMAS 2010: 1587-1588
51		Aaron Wilson, Alan Fern, Prasad Tadepalli: Incorporating Domain Models into Bayesian Optimization for RL. ECML/PKDD (3) 2010: 467-482
50		Yuehua Xu, Alan Fern, Sung Wook Yoon: Iterative Learning of Weighted Rule Sets for Greedy Search. ICAPS 2010: 201-208
49		Jervis Pinto, Alan Fern, Tim Bauer, Martin Erwig: Robust Learning for Adaptive Programs by Leveraging Program Structure. ICMLA 2010: 943-948
48		Omar Alsaleh, Bechir Hamdaoui, Alan Fern: Q-learning for opportunistic spectrum access. IWCMC 2010: 220-224
47		Alan Fern, Prasad Tadepalli: A Computational Decision Theory for Interactive Assistants. Interactive Decision Theory and Game Theory 2010
46		Javad Azimi, Alan Fern, Xiaoli Fern: Batch Bayesian Optimization via Simulation Matching. NIPS 2010: 109-117
45		Alan Fern, Prasad Tadepalli: A Computational Decision Theory for Interactive Assistants. NIPS 2010: 577-585
44		Alan Fern: Speedup Learning. Encyclopedia of Machine Learning 2010: 907-911
	2009
43		Robin Hess, Alan Fern: Discriminatively trained particle filters for complex multi-object tracking. CVPR 2009: 240-247
42		Ronald Bjarnason, Prasad Tadepalli, Alan Fern, Carl Niedner: Simulation-based Optimization of Resource Placement and Emergency Response. IAAI 2009
41		Ronald Bjarnason, Alan Fern, Prasad Tadepalli: Lower Bounding Klondike Solitaire with Monte-Carlo Planning. ICAPS 2009
40		Radha-Krishna Balla, Alan Fern: UCT for Tactical Assault Planning in Real-Time Strategy Games. IJCAI 2009: 40-45
39		Alan Fern: A Penalty-Logic Simple-Transition Model for Structured Sequences. Computational Intelligence 25(4): 302-334 (2009)
38		Yuehua Xu, Alan Fern, Sung Wook Yoon: Learning Linear Ranking Functions for Beam Search with Application to Planning. Journal of Machine Learning Research 10: 1571-1610 (2009)
	2008
37		Sung Wook Yoon, Alan Fern, Robert Givan, Subbarao Kambhampati: Probabilistic Planning via Determinization in Hindsight. AAAI 2008: 1010-1016
36		Sriraam Natarajan, Prasad Tadepalli, Thomas G. Dietterich, Alan Fern: Learning first-order probabilistic models with combining rules. Ann. Math. Artif. Intell. 54(1-3): 223-256 (2008)
35		Sung Wook Yoon, Alan Fern, Robert Givan: Learning Control Knowledge for Forward Search Planning. Journal of Machine Learning Research 9: 683-718 (2008)
34		Neville Mehta, Sriraam Natarajan, Prasad Tadepalli, Alan Fern: Transfer in variable-reward hierarchical reinforcement learning. Machine Learning 73(3): 289-312 (2008)
	2007
33		Sriraam Natarajan, Kshitij Judah, Prasad Tadepalli, Alan Fern: A Decision-Theoretic Model of Assistance - Evaluation, Extensions and Open Problems. AAAI Spring Symposium: Interaction Challenges for Intelligent Assistants 2007: 90-97
32		Robin Hess, Alan Fern: Improved Video Registration using Non-Distinctive Local Image Features. CVPR 2007
31		Sung Wook Yoon, Alan Fern, Robert Givan: FF-Replan: A Baseline for Probabilistic Planning. ICAPS 2007: 352-
30		Hei Chan, Alan Fern, Soumya Ray, Nick Wilson, Chris Ventura: Online Planning for Resource Production in Real-Time Strategy Games. ICAPS 2007: 65-72
29		Robin Hess, Alan Fern, Eric N. Mortensen: Mixture-of-Parts Pictorial Structures for Objects with Variable Part Sets. ICCV 2007: 1-8
28		Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepalli: Multi-task reinforcement learning: a hierarchical Bayesian approach. ICML 2007: 1015-1022
27		Yuehua Xu, Alan Fern: On learning linear ranking functions for beam search. ICML 2007: 1047-1054
26		Charles Parker, Alan Fern, Prasad Tadepalli: Learning for efficient retrieval of structured data with noisy queries. ICML 2007: 729-736
25		Alan Fern, Sriraam Natarajan, Kshitij Judah, Prasad Tadepalli: A Decision-Theoretic Model of Assistance. IJCAI 2007: 1879-1884
24		Yuehua Xu, Alan Fern, Sung Wook Yoon: Discriminative Learning of Beam-Search Heuristics for Planning. IJCAI 2007: 2041-2046
23		Sung Wook Yoon, Alan Fern, Robert Givan: Using Learned Policies in Heuristic-Search Planning. IJCAI 2007: 2047-2053
22		Guohua Hao, Alan Fern: Revisiting Output Coding for Sequential Supervised Learning. IJCAI 2007: 2486-2491
21		Sriraam Natarajan, Prasad Tadepalli, Alan Fern: A Relational Hierarchical Model for Decision-Theoretic Assistance. ILP 2007: 175-190
20		Sriraam Natarajan, Kshitij Judah, Prasad Tadepalli, Alan Fern: A Decision-Theoretic Model of Assistance - Evaluation, Extensions and Open Problems. Interaction Challenges for Intelligent Assistants 2007: 90-97
19		Sriraam Natarajan, Prasad Tadepalli, Alan Fern: Exploiting prior knowledge in Intelligent Assistants - Combining relational models with hierarchies. Probabilistic, Logical and Relational Learning - A Further Synthesis 2007
18		Ronald Bjarnason, Prasad Tadepalli, Alan Fern: Searching Solitaire in Real Time. ICGA Journal 30(3): 131-142 (2007)
	2006
17		Charles Parker, Alan Fern, Prasad Tadepalli: Gradient Boosting for Sequence Alignment. AAAI 2006: 452-457
16		Sung Wook Yoon, Alan Fern, Robert Givan: Learning Heuristic Functions from Relaxed Plans. ICAPS 2006: 162-171
15		Alan Fern, Robert Givan: Sequential inference with reliable observations: Learning to construct force-dynamic models. Artif. Intell. 170(14-15): 1081-1100 (2006)
14		Alan Fern, Sung Wook Yoon, Robert Givan: Approximate Policy Iteration with a Policy Language Bias: Solving Relational Markov Decision Processes. J. Artif. Intell. Res. (JAIR) 25: 75-118 (2006)
13		Alan Fern, Robert Givan, Babak Falsafi, T. N. Vijaykumar: Dynamic feature selection for hardware prediction. Journal of Systems Architecture 52(4): 213-234 (2006)
	2005
12		Sung Wook Yoon, Alan Fern, Robert Givan: Learning Measures of Progress for Planning Domains. AAAI 2005: 1217-1222
11		Sriraam Natarajan, Prasad Tadepalli, Eric Altendorf, Thomas G. Dietterich, Alan Fern, Angelo C. Restificar: Learning first-order probabilistic models with combining rules. ICML 2005: 609-616
10		Alan Fern: A Simple-Transition Model for Relational Sequences. IJCAI 2005: 696-701
	2004
9		Alan Fern, Sung Wook Yoon, Robert Givan: Learning Domain-Specific Control Knowledge from Random Walks. ICAPS 2004: 191-199
8		Alan Fern, Robert Givan: Relational sequential inference with reliable observations. ICML 2004
	2003
7		Alan Fern, Sung Wook Yoon, Robert Givan: Approximate Policy Iteration with a Policy Language Bias. NIPS 2003
6		Alan Fern, Robert Givan: Online Ensemble Learning: An Empirical Study. Machine Learning 53(1-2): 71-109 (2003)
	2002
5		Alan Fern, Robert Givan, Jeffrey Mark Siskind: Specific-to-General Learning for Temporal Events. AAAI/IAAI 2002: 152-158
4		Alan Fern, Jeffrey Mark Siskind, Robert Givan: Learning Temporal, Relational, Force-Dynamic Event Definitions from Video. AAAI/IAAI 2002: 159-166
3		Sung Wook Yoon, Alan Fern, Robert Givan: Inductive Policy Selection for First-Order MDPs. UAI 2002: 568-576
2		Alan Fern, Robert Givan, Jeffrey Mark Siskind: Specific-to-General Learning for Temporal Events with Application to Learning Event Definitions from Video. J. Artif. Intell. Res. (JAIR) 17: 379-449 (2002)
	2000
1		Alan Fern, Robert Givan: Online Ensemble Learning: An Empirical Study. ICML 2000: 279-286

Coauthor Index

1	Kamal Ali	[61]
2	Omar Alsaleh	[48] [56]
3	Eric Altendorf	[11]
4	Mohamed R. Amer	[66]
5	Javad Azimi	[46] [54] [64]
6	Radha-Krishna Balla	[40]
7	Tim Bauer	[49] [58] [62] [69]
8	Ronald Bjarnason	[18] [41] [42]
9	William Brendel	[70]
10	Elizabeth Burrows	[54]
11	Hei Chan	[30]
12	Frank Chaplen	[54]
13	Ethan W. Dereszynski	[71]
14	Thomas G. Dietterich	[11] [36] [53] [71]
15	Martin Erwig	[49] [58] [62] [69]
16	Babak Falsafi	[13]
17	Yanzhen Fan	[54]
18	Xiaoli Z. Fern (Xiaoli Fern, Xiaoli Zhang Fern)	[46] [54] [64]
19	Robert Givan (Bob Givan)	[1] [2] [3] [4] [5] [6] [7] [8] [9] [12] [13] [14] [15] [16] [23] [31] [35] [37] [59] [60]
20	Bechir Hamdaoui	[48] [56]
21	Guohua Hao	[22]
22	Robin Hess	[29] [32] [43] [61]
23	Thao-Trang Hoang	[71]
24	Jesse Hostetler	[71]
25	Jun Jaio	[54]
26	Kshitij Judah	[20] [25] [33] [53]
27	Subbarao Kambhampati	[37]
28	Roni Khardon	[57]
29	Tolga Könik	[61]
30	Paul Lewis	[67]
31	Nan Li	[61]
32	Hong Liu	[54]
33	Neville Mehta	[34] [63]
34	Eric N. Mortensen	[29]
35	Sriraam Natarajan	[11] [19] [20] [21] [25] [33] [34] [36]
36	Thinh Nguyen	[65]
37	Carl Niedner	[42]
38	Charles Parker	[17] [26]
39	Jervis Pinto	[49] [58] [61] [62] [65] [69]
40	Soumya Ray	[28] [30]
41	Angelo C. Restificar	[11]
42	Saikat Roy	[53]
43	Rebecca Schaller	[54]
44	Joseph Selman	[66] [68]
45	Daniel G. Shapiro	[61]
46	Jeffrey Mark Siskind	[2] [4] [5] [60]
47	David J. Stracuzzi	[61]
48	Prasad Tadepalli	[11] [17] [18] [19] [20] [21] [25] [26] [28] [33] [34] [36] [41] [42] [45] [47] [51] [52] [55] [57] [63]
49	Sinisa Todorovic	[66] [70]
50	Mark Udarbe	[71]
51	Pavithra Venkatraman	[56]
52	Chris Ventura	[30]
53	T. N. Vijaykumar	[13]
54	Aaron Wilson	[28] [51] [52] [55]
55	Nick Wilson	[30]
56	Yuehua Xu	[24] [27] [38] [50]
57	Sung Wook Yoon	[3] [7] [9] [12] [14] [16] [23] [24] [31] [35] [37] [38] [50] [59]
58	Pingan Zhu	[65]

Colors in the list of coauthors

Last update Wed May 30 22:34:44 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page