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Deep Reinforcement Learning that Matters [PDF]
AAAI Conference on Artificial Intelligence, 2017 In recent years, significant progress has been made in solving challenging problems across various domains using deep reinforcement learning (RL). Reproducing existing work and accurately judging the improvements offered by novel methods is vital to ...
Peter Henderson +5 more
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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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Nagoya Mathematical Journal, 1966 The device of representing a predicate by a universal sentence gives rise to logics of higher order. To represent an object constructed by a series of certain steps, we usually use terms. To represent a predicate constructed by a series of certain steps, we now use sentences in general.
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IEEE Access, 2022 Snake-like modular robots (MRs) are highly flexible, but, to traverse a challenging terrain or explore a region of interest, MR needs to attain efficient locomotion depending on a tradeoff between objectives like forward velocity and power consumption of
Akash Singh +3 more
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Reinforcement detail: Stress trajectory‐oriented corbel reinforcement
Structural Concrete, 2023 AbstractThe article presents a novel design of concrete corbels, where horizontal and vertical stirrups are replaced by main reinforcement bars that are bent down into the corbel web, following the principal stress lines. A test series of three specimen pairs of fanned‐out and conventional reinforcement design, supported by finite element analysis ...
Lars Hoffmann +2 more
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A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
Science, 2018 One program to rule them all Computers can beat humans at increasingly complex games, including chess and Go. However, these programs are typically constructed for a particular game, exploiting its properties, such as the symmetries of the board on which
David Silver +12 more
semanticscholar +1 more source
Seismic Performance Evaluation of Highway Bridges under Scour and Chloride Ion Corrosion
Applied Sciences, 2022 Cross-river bridges located in seismically active areas are exposed to two major natural hazards, namely earthquakes and flooding. As the scour depth increases, more parts of the bridge substructure will inevitably be exposed to unfavorable conditions ...
Mi Zhou +3 more
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Learning with Delayed Synaptic Plasticity [PDF]
, 2019 The plasticity property of biological neural networks allows them to perform learning and optimize their behavior by changing their configuration. Inspired by biology, plasticity can be modeled in artificial neural networks by using Hebbian learning ...
Fletcher, George +4 more
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Journal of Marine Science and EngineeringWell cementing is an important step in oil and gas development. It uses cement to seal the formation and the casing, preventing fluid leakage. However, when conducting offshore oil well cementing operations, deep-water formations are usually weakly ...
Shaojun Zheng +5 more
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Advances in Materials Science and Engineering, 2018 Basalt fiber is cheap and has excellent mechanical performance. In addition, in combination with the environmentally friendly coconut fiber, it can contribute to sustainable construction materials.
Yang Lv +5 more
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