M. Resnick, B. Myers, K. Nakakoji, B. Shneiderman, R. Pausch et al., Design principles for tools to support creative thinking Working Paper, 2005.

S. Jorda, Digital lutherie crafting musical computers for new musics' performance and improvisation, 2005.

R. Fiebrink and B. Caramiaux, The machine learning algorithm as creative musical tool, 2016.

F. Bevilacqua, B. Zamborlin, A. Sypniewski, N. Schnell, F. Guédy et al., Continuous Realtime Gesture Following and Recognition, International gesture workshop, pp.73-84, 2009.
DOI : 10.1007/978-3-642-12553-9_7
URL : https://hal.archives-ouvertes.fr/hal-01106955

R. Fiebrink, P. R. Cook, and D. Trueman, Human model evaluation in interactive supervised learning, Proceedings of the 2011 annual conference on Human factors in computing systems, CHI '11
DOI : 10.1145/1978942.1978965

, ACM, pp.147-156, 2011.

B. Caramiaux, N. Montecchio, A. Tanaka, and F. Bevilacqua, Adaptive Gesture Recognition with Variation Estimation for Interactive Systems, ACM Transactions on Interactive Intelligent Systems, vol.4, issue.4, pp.1-18, 2014.
DOI : 10.1109/TIP.2004.836152
URL : https://hal.archives-ouvertes.fr/hal-01266046

J. Françoise, N. Schnell, R. Borghesi, and F. Bevilacqua, Probabilistic models for designing motion and sound relationships, Proceedings of the 2014 international conference on new interfaces for musical expression, pp.287-292, 2014.

R. Fiebrink, D. Trueman, N. C. Britt, M. Nagai, K. Kaczmarek et al., Toward understanding human-computer interaction in composing the instrument, ICMC, 2010.

F. Pachet, The Continuator: Musical Interaction With Style, Journal of New Music Research, vol.32, issue.3, pp.333-341, 2003.
DOI : 10.1076/jnmr.32.3.333.16861

B. Caramiaux and A. Tanaka, Machine learning of musical gestures, NIME, pp.513-518, 2013.

]. H. Scurto and R. Fiebrink, Grab-and-play mapping: Creative machine learning approaches for musical inclusion and exploration, Proceedings of the 2016 International Computer Music Conference, 2016.
URL : https://hal.archives-ouvertes.fr/hal-02043739

G. Assayag, Creative symbolic interaction, 40th Intl. Comp. Mus. Conf. and 11th Sound and Music Comp. Conf.(ICMC/SMC joint conf, p.1, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01378904

J. Nika, K. Déguernel, A. Chemla, E. Vincent, and G. Assayag, Dyci2 agents: merging the" free"," reactive", and" scenario-based" music generation paradigms, International Computer Music Conference, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01583089

H. Scurto, F. Bevilacqua, and J. Françoise, Shaping and exploring interactive motion-sound mappings using online clustering techniques, Proceedings of the International Conference on New Interfaces for Musical Expression (NIME'17), 2017.
URL : https://hal.archives-ouvertes.fr/hal-01577806

G. Assayag, G. Bloch, M. Chemillier, A. Cont, and S. Dubnov, OMax brothers, Proceedings of the 1st ACM workshop on Audio and music computing multimedia , AMCMM '06, pp.125-132, 2006.
DOI : 10.1145/1178723.1178742
URL : https://hal.archives-ouvertes.fr/hal-00839075

N. Derbinsky and G. Essl, Exploring reinforcement learning for mobile percussive collaboration, Proceedings of the 2012 International Conference on New Interfaces for Musical Expression (NIME), 2012.

A. L. Thomaz and C. Breazeal, Teachable robots: Understanding human teaching behavior to build more effective robot learners, Artificial Intelligence, vol.172, issue.6-7, pp.716-737, 2008.
DOI : 10.1016/j.artint.2007.09.009
URL : https://doi.org/10.1016/j.artint.2007.09.009

W. B. Knox and P. Stone, Interactively shaping agents via human reinforcement, Proceedings of the fifth international conference on Knowledge capture, K-CAP '09, pp.9-16, 2009.
DOI : 10.1145/1597735.1597738

P. Christiano, J. Leike, T. B. Brown, M. Martic, S. Legg et al., Deep reinforcement learning from human preferences, 2017.

R. S. Sutton and A. G. Barto, Reinforcement Learning: An Introduction, IEEE Transactions on Neural Networks, vol.9, issue.5, 2011.
DOI : 10.1109/TNN.1998.712192