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Sample Efficient Reinforcement Learning with REINFORCE
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 Policy gradient methods are among the most effective methods for large-scale reinforcement learning, and their empirical success has prompted several works that develop the foundation of their global convergence theory. However, prior works have either required exact gradients or state-action visitation measure based mini-batch stochastic gradients ...
Junzi Zhang +3 more
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Reinforcement Learning-based Spectrum Sharing for Cognitive Radio [PDF]
, 2011 This thesis investigates how distributed reinforcement learning-based resource assignment algorithms can be used to improve the performance of a cognitive radio system.
Jiang, Tao
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Comparing policy gradient and value function based reinforcement learning methods in simulated electrical power trade [PDF]
, 2012 In electrical power engineering, reinforcement learning algorithms can be used to model the strategies of electricity market participants. However, traditional value function based reinforcement learning algorithms suffer from convergence issues when ...
Burt, Graeme +3 more
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Trans. Mach. Learn. Res., 2022 First two authors contributed ...
Alex Lewandowski +4 more
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Reinforcement learning in populations of spiking neurons [PDF]
, 2008 Population coding is widely regarded as a key mechanism for achieving reliable behavioral responses in the face of neuronal variability. But in standard reinforcement learning a flip-side becomes apparent.
Urbanczik, R +6 more
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Improving Exploration in Reinforcement Learning through Domain Knowledge and Parameter Analysis [PDF]
, 2010 This thesis presents novel work on how to improve exploration in reinforcement learning using domain knowledge and knowledge-based approaches to reinforcement learning.
Grzes, Marek
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Reinforcement of wood with natural fibers [PDF]
, 2013 This paper describes an experimental programme which examines the reinforcement in flexure of timber beams with composite materials based on natural fibers in the form of fabrics made from hemp, flax, basalt and bamboo fibers.
Borri, Antonio +2 more
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Weak and Strong Reinforcement Number For a Graph [PDF]
, 2010 Introducing the weak reinforcement number which is the minimum number of added edges to reduce the weak dominating number, and giving some boundary of this new parameter and ...
DOGAN, Derya +2 more
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REINFORCEMENT MAGNITUDE AND THE INHIBITING EFFECT OF REINFORCEMENT [PDF]
Journal of the Experimental Analysis of Behavior, 1979 In a two‐key concurrent variable‐interval schedule (using pigeons), if the reinforcement frequency for one response is held constant while that for the other is increased, the rate of response on the constant key decreases. The immediate reinforcement for key pecking can usually be conceptualized as the change from a condition in which the key light is
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COMPOSITE REINFORCEMENT FOR REINFORCED SOIL APPLICATIONS
SOILS AND FOUNDATIONS, 2003 Composite reinforcements achieve the desired performance with a synergetic action from two components. In this paper, development of a composite reinforcement system, made of high tensile steel wire, encased in a cement mortar as a viable system for soil reinforcement applications is proposed.
Babu, Sivakumar GL +2 more
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