Using Logical Specifications of Objectives in Multi-Objective Reinforcement Learning

Mastering the game of go with deep neural networks and tree search

Original

Silver, D., Huang, A., Maddison, C. J., Guez, A., Sifre, L., Van Den Driessche, G., Schrittwieser, J., Antonoglou, I., Panneershelvam, V., Lanctot, M., et al · 1910

Earlier work this paper cites.

Multitask learning

Caruana, R · 1997

Earlier work this paper cites.

Guiding a reinforcement learner with natural language advice: Initial results in robocup soccer

Kuhlmann, G., Stone, P., Mooney, R., and Shavlik, J · 2004

Earlier work this paper cites.

A survey of multi-objective sequential decision-making

Roijers, D. M., Vamplew, P., Whiteson, S., and Dazeley, R · 2013

Earlier work this paper cites.

Learning phrase representations using rnn encoder-decoder for statistical machine translation

Original

Cho, K., Van Merriënboer, B., Gulcehre, C., Bahdanau, D., Bougares, F., Schwenk, H., and Bengio, Y · 2014

Earlier work this paper cites.

Human-level control through deep reinforcement learning

Mnih, V., Kavukcuoglu, K., Silver, D., Rusu, A. A., Veness, J., Bellemare, M. G., Graves, A., Riedmiller, M., Fidjeland, A. K., Ostrovski, G., et al · 2015

Earlier work this paper cites.

Universal value function approximators

Schaul, T., Horgan, D., Gregor, K., and Silver, D · 2015

Cited alongside, same era.

Q-learning for robust satisfaction of signal temporal logic specifications

Aksaray, D., Jones, A., Kong, Z., Schwager, M., and Belta, C · 2016

Cited alongside, same era.

Multi-objective deep reinforcement learning

Original

Mossalam, H., Assael, Y. M., Roijers, D. M., and Whiteson, S · 2016

Cited alongside, same era.

Hindsight experience replay

Andrychowicz, M., Wolski, F., Ray, A., Schneider, J., Fong, R., Welinder, P., McGrew, B., Tobin, J., Abbeel, O. P., and Zaremba, W · 2017

Cited alongside, same era.

Reinforcement learning with temporal logic rewards

Li, X., Vasile, C.-I., and Belta, C · 2017

Cited alongside, same era.

Dynamic weights in multi-objective deep reinforcement learning

Generalizing across multi-objective reward functions in deep reinforcement learning

Original

Friedman, E. and Fontaine, F · 2018

Later among the works it cites.

Soft actor-critic algorithms and applications

Original

Haarnoja, T., Zhou, A., Hartikainen, K., Tucker, G., Ha, S., Tan, J., Kumar, V., Zhu, H., Gupta, A., Abbeel, P., et al · 2018

Later among the works it cites.

Structured Reward Shaping using Signal Temporal Logic specifications

Balakrishnan, A. and Deshmukh, J. V · 2019

Closest in time.

From language to goals: Inverse reinforcement learning for vision-based instruction following

Original

Fu, J., Korattikara, A., Levine, S., and Guadarrama, S · 2019

Closest in time.

Using natural language for reward shaping in reinforcement learning

Original