On the Fundamental Limitations of Decentralized Learnable Reward Shaping in Cooperative Multi-Agent Reinforcement Learning
arxiv.org·2h
🌐Distributed Systems
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Self-Harmony: Learning to Harmonize Self-Supervision and Self-Play in Test-Time Reinforcement Learning
arxiv.org·2h
🤖AI
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Prefrontal inhibitory mechanisms associated with Putamen activity during valence learning revealed by multimodal fMRI-fMRS
nature.com·1d
🔀Transformers
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Real-DRL: Teach and Learn in Reality
arxiv.org·2h
🤖AI
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AI Progress Should Be Measured by Capability-Per-Resource, Not Scale Alone: A Framework for Gradient-Guided Resource Allocation in LLMs
arxiv.org·2h
🔀Transformers
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Token-Regulated Group Relative Policy Optimization for Stable Reinforcement Learning in Large Language Models
arxiv.org·2h
🔀Transformers
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Connectivity Structure and Dynamics of Nonlinear Recurrent Neural Networks
journals.aps.org·7h
🤖AI
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Iterative Foundation Model Fine-Tuning on Multiple Rewards
arxiv.org·2h
🔧Feature Engineering
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Optimizing Electric Vehicle Charging Station Placement Using Reinforcement Learning and Agent-Based Simulations
arxiv.org·2h
🤖AI
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Bio-Inspired Neuron Synapse Optimization for Adaptive Learning and Smart Decision-Making
arxiv.org·2h
🔧Feature Engineering
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LC-Opt: Benchmarking Reinforcement Learning and Agentic AI for End-to-End Liquid Cooling Optimization in Data Centers
arxiv.org·2h
🌐Distributed Systems
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Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning (Paper Review)
pub.towardsai.net·2d
🔀Transformers
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Lessons from Peter Thiel (2010)
🌐Distributed Systems
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Study on Supply Chain Finance Decision-Making Model and Enterprise Economic Performance Prediction Based on Deep Reinforcement Learning
arxiv.org·2h
🌐Distributed Systems
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Probabilistic Robustness for Free? Revisiting Training via a Benchmark
arxiv.org·2h
🧭Vector Databases
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