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cs.AI2026
The Amazing Agent Race: Strong Tool Users, Weak Navigators
Zae Myung Kim, Dongseok Lee, Jaehyung Kim +2
Existing tool-use benchmarks for LLM agents are overwhelmingly linear: our analysis of six benchmarks shows 55 to 100% of instances are simple chains of 2 to 5 steps. We introduce…
cs.AI2019★ 1 cited
Cooperative Multi-Agent Reinforcement Learning Framework for Scalping Trading
Uk Jo, Taehyun Jo, Wanjun Kim +3
We explore deep Reinforcement Learning(RL) algorithms for scalping trading and knew that there is no appropriate trading gym and agent examples. Thus we propose gym and agent like…