Adaptive individuals in evolving populations: models and algorithms
Adaptive individuals in evolving populations: models and algorithms
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Genetic Programming and Autoconstructive Evolution with the Push Programming Language
Genetic Programming and Evolvable Machines
Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
The Push3 execution stack and the evolution of control
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Guest editorial: special issue on parallel and distributed evolutionary algorithms, part two
Genetic Programming and Evolvable Machines
Intrinsically Motivated Reinforcement Learning: An Evolutionary Perspective
IEEE Transactions on Autonomous Mental Development
Genetic Programming for Reward Function Search
IEEE Transactions on Autonomous Mental Development
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Expressive genetic programming
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
A reinforcement learning-based routing for delay tolerant networks
Engineering Applications of Artificial Intelligence
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The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In some problem domains, however, alternative reward functions may allow systems to learn more quickly or more effectively. Here we describe work on the use of genetic programming to find novel reward functions that improve learning system performance. We briefly present the core concepts of our approach, our motivations in developing it, and reasons to believe that the approach has promise for the production of highly successful adaptive technologies. Experimental results are presented and analyzed in our full report [3].