2 papers
cs.CL2026
EvoMemBench: Benchmarking Agent Memory from a Self-Evolving Perspective
Yuyao Wang, Zhongjian Zhang, Mo Chi +7
Recent benchmarks for Large Language Model (LLM) agents mainly evaluate reasoning, planning, and execution. However, memory is also essential for agents, as it enables them to stor…
cs.AI2024
Training Interactive Agent in Large FPS Game Map with Rule-enhanced Reinforcement Learning
Chen Zhang, Huan Hu, Yuan Zhou +4
In the realm of competitive gaming, 3D first-person shooter (FPS) games have gained immense popularity, prompting the development of game AI systems to enhance gameplay. However, d…