activity
20202026
most citedDSAC: Distributional Soft Actor-Critic for Risk-Sensitive Reinforcement Learning

30 citations · 30 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

STRATA: Self-Learning Through Role-Aligned Tiered Agents for Real-Time Strategy Games

Xinhe Tian, Xiaoyue Zhang, Ziyou Zhang +4

Real-time strategy (RTS) games require agents to coordinate economic development, production and construction, base defense, unit organization, and attack timing over long matches.…

cs.AI2026

Graph-Operator World Models for Morphology-Parameter Generalization in Continuous Control

Xu Yang, Yiqin Yang, Qianchuan Zhao

World models for continuous control are commonly trained for a fixed physical system and can degrade when known morphology parameters such as link lengths, masses, damping, and act…

cs.AI2026

GlobeDiff: State Diffusion Process for Partial Observability in Multi-Agent Systems

Yiqin Yang, Xu Yang, Yuhua Jiang +8

In the realm of multi-agent systems, the challenge of \emph{partial observability} is a critical barrier to effective coordination and decision-making. Existing approaches, such as…

cs.AI2025

DAIL: Beyond Task Ambiguity for Language-Conditioned Reinforcement Learning

Runpeng Xie, Quanwei Wang, Hao Hu +7

Comprehending natural language and following human instructions are critical capabilities for intelligent agents. However, the flexibility of linguistic instructions induces substa…

cs.AI2025

Risk-Sensitive RL for Alleviating Exploration Dilemmas in Large Language Models

Yuhua Jiang, Jiawei Huang, Yufeng Yuan +4

Reinforcement Learning with Verifiable Rewards (RLVR) has proven effective for enhancing Large Language Models (LLMs) on complex reasoning tasks. However, existing methods suffer f…