CLIC: Curriculum Learning and Imitation for object Control in non-rewarding environments

S. Schaal, “Learning from demonstration,” in Advances in Neural Information Processing Systems 9 . Cambridge, MA: MIT Press, 1997, pp. 1040–1046

1997

Earlier work this paper cites.

A. Coates, P. Abbeel, and A. Y. Ng, “Learning for control from multiple demonstrations,” in Proceedings of the 25th international conference on Machine learning . ACM, 2008, pp. 144–151

2008

Earlier work this paper cites.

B. D. Argall, S. Chernova, M. Veloso, and B. Browning, “A survey of robot learning from demonstration,” Robotics and autonomous systems , vol. 57, no. 5, pp. 469–483, 2009

2009

Earlier work this paper cites.

A. Stout and A. G. Barto, “Competence progress intrinsic motivation,” in 2010 IEEE 9th International Conference on Development and Learning . IEEE, 2010, pp. 257–262

2010

Earlier work this paper cites.

A. Baranes and P.-Y. Oudeyer, “Intrinsically motivated goal exploration for active motor learning in robots: A case study,” in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2010) . Taipei, Taiwan, Province Of China: IEEE, 2010

2010

Earlier work this paper cites.

M. Babes, V. Marivate, K. Subramanian, and M. L. Littman, “Apprenticeship learning about multiple intentions,” in Proceedings of the 28th International Conference on Machine Learning (ICML-11) , 2011, pp. 897–904

2011

Earlier work this paper cites.

S. M. Nguyen, A. Baranes, and P.-Y. Oudeyer, “Bootstrapping intrinsically motivated learning with human demonstrations,” arXiv preprint arXiv:1112.1937 , 2011

Original

2011

Earlier work this paper cites.

J. Choi and K.-E. Kim, “Nonparametric bayesian inverse reinforcement learning for multiple reward functions,” in Advances in Neural Information Processing Systems , 2012, pp. 305–313

2012

Earlier work this paper cites.

A. J. Ijspeert, J. Nakanishi, H. Hoffmann, P. Pastor, and S. Schaal, “Dynamical movement primitives: learning attractor models for motor behaviors,” Neural computation , vol. 25, no. 2, pp. 328–373, 2013

2013

Earlier work this paper cites.

S. Levine and V. Koltun, “Guided policy search,” in Proceedings of the 30th International Conference on Machine Learning , 2013, pp. 1–9

2013

Earlier work this paper cites.

A. Baranes and P.-Y. Oudeyer, “Active learning of inverse models with intrinsically motivated goal exploration in robots,” Robotics and Autonomous Systems , vol. 61, no. 1, pp. 49–73, 2013

2013

Earlier work this paper cites.

T. Schaul, D. Horgan, K. Gregor, and D. Silver, “Universal value function approximators,” in International Conference on Machine Learning , 2015, pp. 1312–1320

2015

Earlier work this paper cites.

H. Van Hasselt, A. Guez, and D. Silver, “Deep reinforcement learning with double Q-learning,” CoRR, abs/1509.06461 , 2015

Original

2015

Cited alongside, same era.

K. Gregor, D. J. Rezende, and D. Wierstra, “Variational intrinsic control,” arXiv preprint arXiv:1611.07507 , 2016

Original

2016

Cited alongside, same era.

M. C. Machado and M. Bowling, “Learning purposeful behaviour in the absence of rewards,” arXiv preprint arXiv:1605.07700 , 2016

Original

2016

Cited alongside, same era.

M. Bellemare, S. Srinivasan, G. Ostrovski, T. Schaul, D. Saxton, and R. Munos, “Unifying count-based exploration and intrinsic motivation,” in Advances in Neural Information Processing Systems , 2016, pp. 1471–1479

2016

Cited alongside, same era.

M. Jaderberg, V. Mnih, W. M. Czarnecki, T. Schaul, J. Z. Leibo, D. Silver, and K. Kavukcuoglu, “Reinforcement learning with unsupervised auxiliary tasks,” arXiv preprint arXiv:1611.05397 , 2016

M. Večerík, T. Hester, J. Scholz, F. Wang, O. Pietquin, B. Piot, N. Heess, T. Rothörl, T. Lampe, and M. Riedmiller, “Leveraging demonstrations for deep reinforcement learning on robotics problems with sparse rewards,” arXiv preprint arXiv:1707.08817 , 2017

Original

2017

Later among the works it cites.

B. Eysenbach, A. Gupta, J. Ibarz, and S. Levine, “Diversity is all you need: Learning skills without a reward function,” arXiv preprint arXiv:1802.06070 , 2018

Original

2018

Later among the works it cites.

D. Warde-Farley, T. Van de Wiele, T. Kulkarni, C. Ionescu, S. Hansen, and V. Mnih, “Unsupervised control through non-parametric discriminative rewards,” arXiv preprint arXiv:1811.11359 , 2018

Original

2018

Later among the works it cites.

Y. Burda, H. Edwards, D. Pathak, A. Storkey, T. Darrell, and A. A. Efros, “Large-scale study of curiosity-driven learning,” arXiv preprint arXiv:1808.04355 , 2018

Original

2018

Later among the works it cites.