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Is Per-Agent Policy Composition Safe? Rethinking Successor-Feature Transfer in Cooperative Multi-Agent Reinforcement Learning
Many reinforcement learning systems, from fleet management to traffic signal control, must serve an objective that changes dynamically …
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Is Per-Agent Policy Composition Safe? Rethinking Successor-Feature Transfer in Cooperative Multi-Agent Reinforcement Learning
Low-Interaction-Rank Learning: Unifying Multiplicative Dual-Encoder Heads
A multiplicative dual-encoder network computes a real-valued output for a pair of inputs as the inner product of their separate …
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Aggregate in the Advantage, Not the Ratio: A Canonical-Form Analysis of Cooperative Multi-Agent Policy Optimization
Multi-agent policy optimization, exemplified by PPO-based methods, is a key branch of cooperative Multi-Agent Reinforcement Learning …
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Aggregate in the Advantage, Not the Ratio: A Canonical-Form Analysis of Cooperative Multi-Agent Policy Optimization
Optimizing Denoising Trajectories in dLLMs: A Lightweight Evolutionary Heuristic Approach
Diffusion Large Language Models (dLLMs) have recently emerged as a promising alternative to conventional Auto-Regressive (AR) Large …
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Optimizing Denoising Trajectories in dLLMs: A Lightweight Evolutionary Heuristic Approach
RideGym: A Standardized Interface for Real-World Large-Scale Ride-Sharing System
Ride-sharing has become an essential component of modern urban transportation and has attracted significant attention across computer …
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RideGym: A Standardized Interface for Real-World Large-Scale Ride-Sharing System
Stage Light is Sequence²: Multi-Light Control via Imitation Learning
Music-inspired Automatic Stage Lighting Control (ASLC) has gained increasing attention in recent years due to the substantial time and …
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Stage Light is Sequence²: Multi-Light Control via Imitation Learning
Bridging MARL to SARL: An Order-Independent Multi-Agent Transformer via Latent Consensus
Cooperative multi-agent reinforcement learning (MARL) is widely used to address large joint observation and action spaces by …
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Bridging MARL to SARL: An Order-Independent Multi-Agent Transformer via Latent Consensus
AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt
Accurate traffic prediction is essential for Intelligent Transportation Systems, including ride-hailing, urban road planning, and …
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AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt
One Step is Enough: Multi-Agent Reinforcement Learning Based on One-Step Policy Optimization for Order Dispatch on Ride-Sharing Platforms
On-demand ride-sharing platforms face the fundamental challenge of dynamically bundling passengers with diverse origins and …
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One Step is Enough: Multi-Agent Reinforcement Learning Based on One-Step Policy Optimization for Order Dispatch on Ride-Sharing Platforms