Between MDPs and semi-MDPs: a framework for temporal abstraction in reinforcement learning
Artificial Intelligence
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Metalearning and neuromodulation
Neural Networks - Computational models of neuromodulation
Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
Evolution of Neural Architecture Fitting Environmental Dynamics
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Hierarchical reinforcement learning with the MAXQ value function decomposition
Journal of Artificial Intelligence Research
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Neural Information Processing
Detection of Weak Signals by Emotion-Derived Stochastic Resonance
SAB '08 Proceedings of the 10th international conference on Simulation of Adaptive Behavior: From Animals to Animats
Co-evolution of Shaping Rewards and Meta-Parameters in Reinforcement Learning
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
The Neuromodulatory System: A Framework for Survival and Adaptive Behavior in a Challenging World
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Co-evolution of Rewards and Meta-parameters in Embodied Evolution
Creating Brain-Like Intelligence
Neural Pathways of Embodied Simulation
Anticipatory Behavior in Adaptive Learning Systems
Emergence of Different Mating Strategies in Artificial Embodied Evolution
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
Darwinian embodied evolution of the learning ability for survival
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
An adaptive robot motivational system
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
Experimental study on task teaching to real rats through interaction with a robotic rat
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
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The aim of the Cyber Rodent project is to understand the origins of our reward and affective systems by building artificial agents that share the same intrinsic constraints as natural agents: Self-preserva tion and self-reproduction. A Cyber Rodent is a robot that can search for and recharge from battery packs on the floor and copy its programs to a nearby agent through its infrared communication port. This article reviews our research topics so far, including (1) evolution of neural controllers, (2) learning of foraging and mating behaviors, (3) evolution of learning architectures and meta-parameters, (4) simultaneous learning of multiple agents in a body, and (5) learning and evolution in a self-sustained colony. We discuss our future directions and expected contributions.