Designing Rewards for Fast Learning

Complexity analysis of real-time reinforcement learning

Koenig, S. and Simmons, R. G. (1993) · 1993

Earlier work this paper cites.

Markov Decision Processes—Discrete Stochastic Dynamic Programming

Puterman, M. L. (1994) · 1994

Earlier work this paper cites.

Artificial Intelligence: A Modern Approach

Russell, S. J. and Norvig, P. (1994) · 1994

Earlier work this paper cites.

Reinforcement learning with hierarchies of machines

Parr, R. and Russell, S. (1998) · 1997

Earlier work this paper cites.

Policy invariance under reward transformations: Theory and application to reward shaping

Ng, A. Y., Harada, D., and Russell, S. (1999) · 1999

Earlier work this paper cites.

A near-optimal polynomial time algorithm for learning in certain classes of stochastic games

Brafman, R. I. and Tennenholtz, M. (2000) · 2000

Cited alongside, same era.

Algorithms for inverse reinforcement learning

Ng, A. Y. and Russell, S. (2000) · 2000

Cited alongside, same era.

Effective reinforcement learning for mobile robots

Smart, W. D. and Kaelbling, L. P. (2002) · 2002

Cited alongside, same era.

Apprenticeship learning via inverse reinforcement learning

Abbeel, P. and Ng, A. Y. (2004) · 2004

Cited alongside, same era.

Apprenticeship learning using linear programming

Syed, U., Bowling, M., and Schapire, R. E. (2008) · 2008

Cited alongside, same era.

Action-gap phenomenon in reinforcement learning

Farahmand, A.-m. (2011) · 2011

Later among the works it cites.

Increasing the action gap: New operators for reinforcement learning

Bellemare, M. G., Ostrovski, G., Guez, A., Thomas, P. S., and Munos, R. (2015) · 2015

Later among the works it cites.

The dependence of effective planning horizon on model accuracy

Jiang, N., Kulesza, A., Singh, S., and Lewis, R. (2015) · 2015

Later among the works it cites.

On value function representation of long horizon problems

Lehnert, L., Laroche, R., and van Seijen, H. (2018) · 2018

Later among the works it cites.

On the expressivity of Markov reward

Original

Abel, D., Dabney, W., Harutyunyan, A., Ho, M. K., Littman, M. L., Precup, D., and Singh, S. (2021) · 2021

Later among the works it cites.