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Imitation learning seeks to circumvent the difficulty in designing proper reward functions for training agents by utilizing expert behavior.
Alvinn: An autonomous land vehicle in a neural network
Pomerleau, D. A · 1989
Earlier work this paper cites.
Relations between two sets of variates
Hotelling, H · 1992
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Is imitation learning the route to humanoid robots?
Schaal, S · 1999
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Apprenticeship learning via inverse reinforcement learning
Abbeel, P. and Ng, A. Y · 2004
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An algebraic approach to abstraction in reinforcement learning
Ravindran, B · 2004
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The mirror-neuron system
Rizzolatti, G. and Craighero, L · 2004
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Dynamic time warping
Müller, M · 2007
Earlier work this paper cites.
When pliers become fingers in the monkey motor system
Umiltà, M., Intskirveli, I., Grammont, F., Rochat, M., Caruana, F., Jezzini, A., Gallese, V., Rizzolatti, G., et al · 2008
Earlier work this paper cites.
Maximum entropy inverse reinforcement learning
Ziebart, B. D., Maas, A. L., Bagnell, J. A., and Dey, A. K · 2008
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The development of imitation in infancy
Jones, S. S · 2009
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Transfer learning for reinforcement learning domains: A survey
Taylor, M. E. and Stone, P · 2009
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Reinforcement learning transfer via common subspaces
Ammar, H. B. and Taylor, M. E · 2011
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Bisimulation metrics for continuous markov decision processes
Ferns, N., Panangaden, P., and Precup, D · 2011
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A reduction of imitation learning and structured prediction to no-regret online learning
Ross, S., Gordon, G., and Bagnell, D · 2011
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Mujoco: A physics engine for model-based control
Todorov, E., Erez, T., and Tassa, Y · 2012
Earlier work this paper cites.
An automated measure of mdp similarity for transfer in reinforcement learning
Ammar, H. B., Eaton, E., Taylor, M. E., Mocanu, D. C., Driessens, K., Weiss, G., and Tuyls, K · 2014
Earlier work this paper cites.
Generative adversarial nets
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., and Bengio, Y · 2014
Cited alongside, same era.
Deep domain confusion: Maximizing for domain invariance
Tzeng, E., Hoffman, J., Zhang, N., Saenko, K., and Darrell, T · 2014
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Unsupervised cross-domain transfer in policy gradient reinforcement learning via manifold alignment
Ammar, H. B., Eaton, E., Ruvolo, P., and Taylor, M · 2015
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Body maps in the infant brain
Marshall, P. J. and Meltzoff, A. N · 2015
Cited alongside, same era.
Deep variational information bottleneck
Alemi, A. A., Fischer, I., Dillon, J. V., and Murphy, K · 2016
Cited alongside, same era.
Cycada: Cycle-consistent adversarial domain adaptation
Hoffman, J., Tzeng, E., Park, T., Zhu, J.-Y., Isola, P., Saenko, K., Efros, A., and Darrell, T · 2018
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Imitation from observation: Learning to imitate behaviors from raw video via context translation
Liu, Y., Gupta, A., Abbeel, P., and Levine, S · 2018
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Spectral normalization for generative adversarial networks
Miyato, T., Kataoka, T., Koyama, M., and Yoshida, Y · 2018
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Behavioral cloning from observation
Torabi, F., Warnell, G., and Stone, P · 2018
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Transfer learning for related reinforcement learning tasks via image-to-image translation
Gamrian, S. and Goldberg, Y · 2019
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Bojarski, M., Del Testa, D., Dworakowski, D., Firner, B., Flepp, B., Goyal, P., Jackel, L. D., Monfort, M., Muller, U., Zhang, J., et al · 2016
Cited alongside, same era.
Brockman, G., Cheung, V., Pettersson, L., Schneider, J., Schulman, J., Tang, J., and Zaremba, W · 2016
Cited alongside, same era.
Generative adversarial imitation learning
Ho, J. and Ermon, S · 2016
Cited alongside, same era.
Asynchronous methods for deep reinforcement learning
Mnih, V., Badia, A. P., Mirza, M., Graves, A., Lillicrap, T., Harley, T., Silver, D., and Kavukcuoglu, K · 2016
Cited alongside, same era.
Learning invariant feature spaces to transfer skills with reinforcement learning
Gupta, A., Devin, C., Liu, Y., Abbeel, P., and Levine, S · 2017
Cited alongside, same era.
Least squares generative adversarial networks
Mao, X., Li, Q., Xie, H., Lau, R. Y., Wang, Z., and Paul Smolley, S · 2017
Cited alongside, same era.
Proximal policy optimization algorithms
Schulman, J., Wolski, F., Dhariwal, P., Radford, A., and Klimov, O · 2017
Cited alongside, same era.
State-only imitation with transition dynamics mismatch
Gangwani, T. and Peng, J · 2019
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Learning from trajectories via subgoal discovery
Paul, S., Vanbaar, J., and Roy-Chowdhury, A · 2019
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On variational bounds of mutual information
Poole, B., Ozair, S., Van Den Oord, A., Alemi, A., and Tucker, G · 2019
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Third-person visual imitation learning via decoupled hierarchical controller
Sharma, P., Pathak, D., and Gupta, A · 2019
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Avid: Learning multi-stage tasks via pixel-level translation of human videos
Smith, L., Dhawan, N., Zhang, M., Abbeel, P., and Levine, S · 2019
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Imitation learning from observations by minimizing inverse dynamics disagreement
Yang, C., Ma, X., Huang, W., Sun, F., Liu, H., Huang, J., and Gan, C · 2019
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Retinagan: An object-aware approach to sim-to-real transfer
Ho, D., Rao, K., Xu, Z., Jang, E., Khansari, M., and Bai, Y · 2020
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Domain adaptive imitation learning
Kim, K., Gu, Y., Song, J., Zhao, S., and Ermon, S · 2020
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Rl-cyclegan: Reinforcement learning aware simulation-to-real
Rao, K., Harris, C., Irpan, A., Levine, S., Ibarz, J., and Khansari, M · 2020
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Mutual information based knowledge transfer under state-action dimension mismatch
Wan, M., Gangwani, T., and Peng, J · 2020
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