| 2012 | ||
|---|---|---|
| 13 | John Fearnley, Doron Peled, Sven Schewe: Synthesis of Succinct Systems CoRR abs/1202.5449: (2012) | |
| 12 | Nathalie Bertrand, John Fearnley, Sven Schewe: Bounded Satisfiability for PCTL CoRR abs/1204.0469: (2012) | |
| 11 | John Fearnley, Paul W. Goldberg, Rahul Savani, Troels Bjerre Sørensen: Approximate Well-supported Nash Equilibria below Two-thirds CoRR abs/1204.0707: (2012) | |
| 2011 | ||
| 10 | John Fearnley, Markus Rabe, Sven Schewe, Lijun Zhang: Efficient Approximation of Optimal Control for Continuous-Time Markov Games. FSTTCS 2011: 399-410 | |
| 9 | John Fearnley, Oded Lachish: Parity Games on Graphs with Medium Tree-Width. MFCS 2011: 303-314 | |
| 8 | John Fearnley, Sven Schewe: Time and Space Results for Parity Games with Bounded Treewidth CoRR abs/1112.0221: (2011) | |
| 2010 | ||
| 7 | John Fearnley, Martin Zimmermann: Playing Muller Games in a Hurry GANDALF 2010: 146-161 | |
| 6 | John Fearnley: Exponential Lower Bounds for Policy Iteration. ICALP (2) 2010: 551-562 | |
| 5 | John Fearnley: Non-oblivious Strategy Improvement. LPAR (Dakar) 2010: 212-230 | |
| 4 | John Fearnley, Marcin Jurdzinski, Rahul Savani: Linear Complementarity Algorithms for Infinite Games. SOFSEM 2010: 382-393 | |
| 3 | John Fearnley: Non-oblivious Strategy Improvement CoRR abs/1003.2976: (2010) | |
| 2 | John Fearnley: Exponential Lower Bounds For Policy Iteration CoRR abs/1003.3418: (2010) | |
| 2009 | ||
| 1 | John Fearnley, Marcin Jurdzinski, Rahul Savani: Linear Complementarity Algorithms for Infinite Games CoRR abs/0909.5653: (2009) | |
| 1 | Nathalie Bertrand | [12] |
| 2 | Paul W. Goldberg | [11] |
| 3 | Marcin Jurdzinski | [1] [4] |
| 4 | Oded Lachish | [9] |
| 5 | Doron Peled | [13] |
| 6 | Markus Rabe (Markus N. Rabe) | [10] |
| 7 | Rahul Savani | [1] [4] [11] |
| 8 | Sven Schewe | [8] [10] [12] [13] |
| 9 | Troels Bjerre Sørensen | [11] |
| 10 | Lijun Zhang | [10] |
| 11 | Martin Zimmermann | [7] |
Colors in the list of coauthors
Last update Fri May 25 01:42:58 2012 CET by the DBLP Team —
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