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Deep Reinforcement Learning

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TitleStatusHype
Joint User Pairing and Association for Multicell NOMA: A Pointer Network-based Approach—0
JPPO: Joint Power and Prompt Optimization for Accelerated Large Language Model Services—0
Keeping Minimal Experience to Achieve Efficient Interpretable Policy Distillation—0
Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control—0
Kickstarting Deep Reinforcement Learning—0
Kinematics Modeling of Peroxy Free Radicals: A Deep Reinforcement Learning Approach—0
K-nearest Multi-agent Deep Reinforcement Learning for Collaborative Tasks with a Variable Number of Agents—0
KnobTree: Intelligent Database Parameter Configuration via Explainable Reinforcement Learning—0
Knowledge-Assisted Deep Reinforcement Learning in 5G Scheduler Design: From Theoretical Framework to Implementation—0
Knowledge-Based Sequential Decision-Making Under Uncertainty—0
Knowledge Distillation from Language-Oriented to Emergent Communication for Multi-Agent Remote Control—0
Knowledge-enhanced Black-box Attacks for Recommendations—0
Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation—0
Knowledge-Guided Exploration in Deep Reinforcement Learning—0
Knowledge Transfer in Deep Reinforcement Learning for Slice-Aware Mobility Robustness Optimization—0
KnowPC: Knowledge-Driven Programmatic Reinforcement Learning for Zero-shot Coordination—0
KnowRU: Knowledge Reusing via Knowledge Distillation in Multi-agent Reinforcement Learning—0
KnowSR: Knowledge Sharing among Homogeneous Agents in Multi-agent Reinforcement Learning—0
KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge—0
Koopman-Based Generalization of Deep Reinforcement Learning With Application to Wireless Communications—0
KSG: Knowledge and Skill Graph—0
LADDER: A Human-Level Bidding Agent for Large-Scale Real-Time Online Auctions—0
LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach—0
LaMOuR: Leveraging Language Models for Out-of-Distribution Recovery in Reinforcement Learning—0
Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints—0
Language Expansion In Text-Based Games—0
LanGWM: Language Grounded World Model—0
Large Language Model Assisted Optimal Bidding of BESS in FCAS Market: An AI-agent based Approach—0
Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control—0
Large Language Models for Human-like Autonomous Driving: A Survey—0
Large-Scale Retrieval for Reinforcement Learning—0
Large-scale traffic signal control using machine learning: some traffic flow considerations—0
Latency and Energy Minimization in NOMA-Assisted MEC Network: A Federated Deep Reinforcement Learning Approach—0
Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing—0
Latent Action Priors for Locomotion with Deep Reinforcement Learning—0
Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning—0
Latent forward model for Real-time Strategy game planning with incomplete information—0
Latent Space Reinforcement Learning for Steering Angle Prediction—0
Launchpad: Learning to Schedule Using Offline and Online RL Methods—0
LAU-Net: Latitude Adaptive Upscaling Network for Omnidirectional Image Super-Resolution—0
LBGP: Learning Based Goal Planning for Autonomous Following in Front—0
Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection—0
Learnable Strategies for Bilateral Agent Negotiation over Multiple Issues—0
Learnable Triangulation for Deep Learning-based 3D Reconstruction of Objects of Arbitrary Topology from Single RGB Images—0
Learned Best-Effort LLM Serving—0
Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning—0
Learning Actions and Control of Focus of Attention with a Log-Polar-like Sensor—0
Learning Active Spine Behaviors for Dynamic and Efficient Locomotion in Quadruped Robots—0
Learning Adaptive Evolutionary Computation for Solving Multi-Objective Optimization Problems—0
Learning a Deep Reinforcement Learning Policy Over the Latent Space of a Pre-trained GAN for Semantic Age Manipulation—0
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