Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control

V. Mnih, A. Badia, M. Mirza, A. Graves, T. Lillicrap, T. Harley, D. Silver, and K. Kavukcuoglu, Asynchronous methods for deep reinforcement learning, ICML’16 , pp. 1928–1937

1937

Earlier work this paper cites.

T. Yu, S. Kumar, A. Gupta, S. Levine, K. Hausman, and C. Finn, Gradient surgery for multi-task learning, arXiv preprint , 2020, arXiv:2001.06782

Original

2001

Earlier work this paper cites.

R. Yang, H. Xu, Y. Wu and X. Wang, Multi-Task reinforcement learning with soft modularization, arXiv preprint , 2020, arXiv:2003.13661

Original

2003

Earlier work this paper cites.

B. Goertzel and C. Pennachin, Artificial general intelligence, Springer , Vol. 2, 2007

2007

Earlier work this paper cites.

J. Zhang, J. Springenberg, J. Boedecker, and W. Burgard, Deep reinforcement learning with successor features for navigation across similar environments, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2017, pp. 2371–2378

Original

2010

Earlier work this paper cites.

E. Todorov, T. Erez, and Y. Tassa, Mujoco: A physics engine for model-based control, IEEE/RSJ International Conference on Intelligent Robots and Systems , 2012, pp. 5026–5033

2012

Cited alongside, same era.

G. Hinton, O. Vinyals, and J. Dean, Distilling the knowledge in a neural network, arXiv preprint , 2015, arXiv:1503.02531

Original

2015

Cited alongside, same era.

V. Mnih, et al

2015

Cited alongside, same era.

L. Liu, U. Dogan, and K. Hofmann, Decoding multitask dqn in the world of minecraft, European Workshop on Reinforcement Learning (EWRL) , 2016

2016

Cited alongside, same era.

D. E. Carlo, T. Davide, B. Andrea and R. Marcello, Sharing knowledge in multi-task deep reinforcement learning, ICLR’20

Cited in the paper.

P. Henderson, W. Chang, F. Shkurti, J. Hansen, D. Meger, and G. Dudek, Benchmark environments for multitask learning in continuous domains, arXiv preprint , 2017, arXiv:1708.04352

Original

2017

Later among the works it cites.

J. Kirkpatrick, R. Pascanu, N. Rabinowitz, J. Veness, G. Desjardins, and et al

2017

Later among the works it cites.

J. Schulman, F. Wolski, P. Dhariwal, A. Radford, and O. Klimov, Proximal policy optimization algorithms, arXiv preprint , 2017, arXiv:1707.06347

Original

2017

Later among the works it cites.

H. Arora, R. Kumar, J. Krone, and Li, Chong, Multi-task learning for continuous control, arXiv preprint , 2018, arXiv:1802.01034

Original

2018

Later among the works it cites.