Genetic programming (videotape): the movie
Genetic programming (videotape): the movie
Practical Issues in Temporal Difference Learning
Machine Learning
Technical Note: \cal Q-Learning
Machine Learning
Genetic Reinforcement Learning for Neurocontrol Problems
Machine Learning - Special issue on genetic algorithms
Integrating reactive, sequential, and learning behavior using dynamical neural networks
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
Artificial Life
Incremental evolution of complex general behavior
Adaptive Behavior - Special issue on environment structure and behavior
Coevolutionary search among adversaries
Coevolutionary search among adversaries
Symbiotic evolution of neural networks in sequential decision tasks
Symbiotic evolution of neural networks in sequential decision tasks
Gradient descent for general reinforcement learning
Proceedings of the 1998 conference on Advances in neural information processing systems II
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Evolving Neural Control Systems
IEEE Expert: Intelligent Systems and Their Applications
Evolving neural networks through augmenting topologies
Evolutionary Computation
Towards the Genetic Synthesisof Neural Networks
Proceedings of the 3rd International Conference on Genetic Algorithms
Memory Approaches to Reinforcement Learning in Non-Markovian Domains
Memory Approaches to Reinforcement Learning in Non-Markovian Domains
Applying ESP and Region Specialists to Neuro-Evolution for Go
Applying ESP and Region Specialists to Neuro-Evolution for Go
An analysis of cooperative coevolutionary algorithms
An analysis of cooperative coevolutionary algorithms
Robust non-linear control through neuroevolution
Robust non-linear control through neuroevolution
Efficient evolution of neural networks through complexification
Efficient evolution of neural networks through complexification
Effective image compression using evolved wavelets
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Completely Derandomized Self-Adaptation in Evolution Strategies
Evolutionary Computation
The Cooperative Coevolutionary (1+1) EA
Evolutionary Computation
Archive-based cooperative coevolutionary algorithms
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Neural Computation
Implicit niching in a learning classifier system: Nature's way
Evolutionary Computation
A comparison between cellular encoding and direct encoding for genetic neural networks
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Active guidance for a finless rocket using neuroevolution
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Exploring the explorative advantage of the cooperative coevolutionary (1+1) EA
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Evolving keepaway soccer players through task decomposition
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Solving deep memory POMDPs with recurrent policy gradients
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Learning finite-state controllers for partially observable environments
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
IEEE Transactions on Neural Networks
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
Countering Poisonous Inputs with Memetic Neuroevolution
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
Hoeffding and Bernstein races for selecting policies in evolutionary direct policy search
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
On the significance of the permutation problem in neuroevolution
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Uncertainty handling CMA-ES for reinforcement learning
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
NEAT in increasingly non-linear control situations
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
Neuroevolution strategies for episodic reinforcement learning
Journal of Algorithms
Neuroevolution based on reusable and hierarchical modular representation
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
Evolving neural networks in compressed weight space
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
The neuronal replicator hypothesis
Neural Computation
EA'09 Proceedings of the 9th international conference on Artificial evolution
Fractal gene regulatory networks for control of nonlinear systems
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part II
Proceedings of the 8th International Conference on Frontiers of Information Technology
High dimensions and heavy tails for natural evolution strategies
Proceedings of the 13th annual conference on Genetic and evolutionary computation
DXNN: evolving complex organisms in complex environments using a novel tweann system
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Automatically composing and parameterizing skills by evolving Finite State Automata
Robotics and Autonomous Systems
Learning, evolution and adaptation in racing games
Proceedings of the 9th conference on Computing Frontiers
CMA-TWEANN: efficient optimization of neural networks via self-adaptation and seamless augmentation
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Breast cancer detection using cartesian genetic programming evolved artificial neural networks
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Crossover-based local search in cooperative co-evolutionary feedforward neural networks
Applied Soft Computing
Parallel linear genetic programming for multi-class classification
Genetic Programming and Evolvable Machines
Scalable neuroevolution for reinforcement learning
TPNC'12 Proceedings of the First international conference on Theory and Practice of Natural Computing
Adaptive reservoir computing through evolution and learning
Neurocomputing
Extracting key gene regulatory dynamics for the direct control of mechanical systems
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part I
Efficient neuroevolution for a quadruped robot
SEAL'12 Proceedings of the 9th international conference on Simulated Evolution and Learning
Neural Networks
Neuroannealing: martingale optimization for neural networks
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Evolving large-scale neural networks for vision-based reinforcement learning
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Toward nonlinear local reinforcement learning rules through neuroevolution
Neural Computation
Solving the pole balancing problem by means of assembler encoding
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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Many complex control problems require sophisticated solutions that are not amenable to traditional controller design. Not only is it difficult to model real world systems, but often it is unclear what kind of behavior is required to solve the task. Reinforcement learning (RL) approaches have made progress by using direct interaction with the task environment, but have so far not scaled well to large state spaces and environments that are not fully observable. In recent years, neuroevolution, the artificial evolution of neural networks, has had remarkable success in tasks that exhibit these two properties. In this paper, we compare a neuroevolution method called Cooperative Synapse Neuroevolution (CoSyNE), that uses cooperative coevolution at the level of individual synaptic weights, to a broad range of reinforcement learning algorithms on very difficult versions of the pole balancing problem that involve large (continuous) state spaces and hidden state. CoSyNE is shown to be significantly more efficient and powerful than the other methods on these tasks.