Jervis Pinto
Citado por
Citado por
An application of transfer to american football: From observation of raw video to control in a simulated environment
DJ Stracuzzi, A Fern, K Ali, R Hess, J Pinto, N Li, T Konik, DG Shapiro
AI Magazine 32 (2), 107-125, 2011
Lightweight automated testing with adaptation-based programming
A Groce, A Fern, J Pinto, T Bauer, A Alipour, M Erwig, C Lopez
2012 IEEE 23rd International Symposium on Software Reliability Engineering …, 2012
TSTL: the template scripting testing language
J Holmes, A Groce, J Pinto, P Mittal, P Azimi, K Kellar, J O’Brien
International Journal on Software Tools for Technology Transfer 20 (1), 57-78, 2018
A little language for testing
A Groce, J Pinto
NASA Formal Methods Symposium, 204-218, 2015
Adaptation-based programming in Java
T Bauer, M Erwig, A Fern, J Pinto
Proceedings of the 20th ACM SIGPLAN workshop on Partial evaluation and …, 2011
Winning isn’t everything: Training agents to playtest modern games
I Borovikov, Y Zhao, A Beirami, J Harder, J Kolen, J Pestrak, J Pinto, ...
AAAI Workshop on Reinforcement Learning in Games, 2019
TSTL: a language and tool for testing
A Groce, J Pinto, P Azimi, P Mittal
Proceedings of the 2015 International Symposium on Software Testing and …, 2015
Learning Partial Policies to Speedup MDP Tree Search.
J Pinto, A Fern
UAI, 672-681, 2014
Winning is not everything: Enhancing game development with intelligent agents
Y Zhao, I Borovikov, F de Mesentier Silva, A Beirami, J Rupert, C Somers, ...
IEEE Transactions on Games 12 (2), 199-212, 2020
Learning-based test programming for programmers
A Groce, A Fern, M Erwig, J Pinto, T Bauer, A Alipour
International Symposium on Leveraging Applications of Formal Methods …, 2012
Robust learning for adaptive programs by leveraging program structure
J Pinto, A Fern, T Bauer, M Erwig
2010 Ninth International Conference on Machine Learning and Applications …, 2010
A new learning algorithm for optimal stopping
VS Borkar, J Pinto, T Prabhu
Discrete Event Dynamic Systems 19 (1), 91-113, 2009
Learning partial policies to speedup MDP tree search via reduction to IID learning
J Pinto, A Fern
The Journal of Machine Learning Research 18 (1), 2179-2213, 2017
TSTL: the template scripting testing language
A Groce, J Pinto, P Azimi, P Mittal, J Holmes, K Kellar
Improving policy gradient estimates with influence information
J Pinto, A Fern, T Bauer, M Erwig
Asian Conference on Machine Learning, 1-18, 2011
Inclusion of human values in the specification of systems: bridging design and systems engineering
J Pinto, K Falk, M Kjørstad
INCOSE International Symposium 29 (1), 284-300, 2019
Early Validation of User Needs in Concept Development: A Case Study in an Innovation-Oriented Consultancy
M Kjørstad, K Falk, G Muller, J Pinto
International Conference on Human Systems Engineering and Design: Future …, 2018
Achieving quality of service with adaptation-based programming for medium access protocols
P Zhu, J Pinto, T Nguyen, A Fern
2012 IEEE Global Communications Conference (GLOBECOM), 1932-1937, 2012
Adaptation-based programming in haskell
T Bauer, M Erwig, A Fern, J Pinto
arXiv preprint arXiv:1109.0774, 2011
Winning Isn’t Everything: Training Human-Like Agents for Playtesting and Game AI
Y Zhao, I Borovikov, A Beirami, J Rupert, C Somers, J Harder, ...
arXiv preprint arXiv:1903.10545, 2019
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