Results 301 to 310 of about 5,876,040 (331)
Human-like Dexterous Grasping Through Reinforcement Learning and Multimodal Perception. [PDF]
Biomimetics (Basel)Qi W, Fan H, Zheng C, Su H, Alfayad S.
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Optimization of a Coupled Neuron Model Based on Deep Reinforcement Learning and Application of the Model in Bearing Fault Diagnosis. [PDF]
Sensors (Basel)Wang S +6 more
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Multiple deception resources deployment strategy based on reinforcement learning for network threat mitigation. [PDF]
Sci RepLi C, Zhao N, Wu H.
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Safe RLHF: Safe Reinforcement Learning from Human Feedback
International Conference on Learning Representations, 2023With the development of large language models (LLMs), striking a balance between the performance and safety of AI systems has never been more critical.
Josef Dai +7 more
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International Conference on Computing Communication and Networking Technologies, 2023
Deep Reinforcement Learning (DRL) is a powerful technique for learning policies for complex decision-making tasks. In this paper, we provide an overview of DRL, including its basic components, key algorithms and techniques, and applications in areas s.a.
Sahil Sharma +2 more
semanticscholar +1 more source
Deep Reinforcement Learning (DRL) is a powerful technique for learning policies for complex decision-making tasks. In this paper, we provide an overview of DRL, including its basic components, key algorithms and techniques, and applications in areas s.a.
Sahil Sharma +2 more
semanticscholar +1 more source
Evolutionary Ecology, 2007
Evidence has been accumulating to support the process of reinforcement as a potential mechanism in speciation. In many species, mate choice decisions are influenced by cultural factors, including learned mating preferences (sexual imprinting) or learned mate attraction signals (e.g., bird song).
Stein Are Sæther +2 more
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Evidence has been accumulating to support the process of reinforcement as a potential mechanism in speciation. In many species, mate choice decisions are influenced by cultural factors, including learned mating preferences (sexual imprinting) or learned mate attraction signals (e.g., bird song).
Stein Are Sæther +2 more
openaire +3 more sources
Reinforcement learning in surgery
Surgery, 2021Patients and physicians make essential decisions regarding diagnostic and therapeutic interventions. These actions should be performed or deferred under time constraints and uncertainty regarding patients' diagnoses and predicted response to treatment. This may lead to cognitive and judgment errors.
Shounak Datta +7 more
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Reinforcement Learning and Deep Reinforcement Learning
2019In order to better understand state-of-the-art reinforcement learning agent, deep Q-network, a brief review of reinforcement learning and Q-learning are first described. Then recent advances of deep Q-network are presented, and double deep Q-network and dueling deep Q-network that go beyond deep Q-network are also given.
F. Richard Yu, Ying He
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DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
arXiv.orgWe introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1. DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT) as a preliminary step, demonstrates remarkable ...
DeepSeek-AI +197 more
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