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Recent results in Reinforcement Learning (RL) have shown that agents with limited training environments are susceptible to a large amount of overfitting across many domains.
Simple statistical gradient-following algorithms for connectionist reinforcement learning
Williams, R. J · 1992
Earlier work this paper cites.
Batch normalization: Accelerating deep network training by reducing internal covariate shift
Ioffe, S. and Szegedy, C · 2015
Earlier work this paper cites.
The dependence of effective planning horizon on model accuracy
Jiang, N., Kulesza, A., Singh, S., and Lewis, R · 2015
Earlier work this paper cites.
On large-batch training for deep learning: Generalization gap and sharp minima
Keskar, N. S., Mudigere, D., Nocedal, J., Smelyanskiy, M., and Tang, P. T. P · 2016
Earlier work this paper cites.
Proximal policy optimization algorithms
Schulman, J., Wolski, F., Dhariwal, P., Radford, A., and Klimov, O · 2017
Earlier work this paper cites.
Don’t decay the learning rate, increase the batch size
Smith, S. L., Kindermans, P., and Le, Q. V · 2017
Cited alongside, same era.
Understanding the impact of entropy on policy optimization
Ahmed, Z., Roux, N. L., Norouzi, M., and Schuurmans, D · 2018
Cited alongside, same era.
Quantifying generalization in reinforcement learning
Cobbe, K., Klimov, O., Hesse, C., Kim, T., and Schulman, J · 2018
Cited alongside, same era.
Deep reinforcement learning that matters
Henderson, P., Islam, R., Bachman, P., Pineau, J., Precup, D., and Meger, D · 2018
Cited alongside, same era.
Are deep policy gradient algorithms truly policy gradient algorithms?
Ilyas, A., Engstrom, L., Santurkar, S., Tsipras, D., Janoos, F., Rudolph, L., and Madry, A · 2018
Later among the works it cites.
Visualizing the loss landscape of neural nets
Li, H., Xu, Z., Taylor, G., Studer, C., and Goldstein, T · 2018
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How does batch normalization help optimization?
Santurkar, S., Tsipras, D., Ilyas, A., and Madry, A · 2018
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A study on overfitting in deep reinforcement learning
Zhang, C., Vinyals, O., Munos, R., and Bengio, S · 2018
Later among the works it cites.
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