Memory-Augmented Agents

Follow this topic Ask about this topic

Momentum

41 papers in the last four weeks, up 193% on the four weeks before. 0.4% of all new papers.

Jul 13Week of Sep 28

Latest papers 235

All topics

Memory-Induced Supra-Competitive Outcomes Between Deep Reinforcement Learning Agents in Optimal Trade Execution
May 19, 2026Christos Spyridon Koulouris, Carlo CampajolaAlgorithmic Collusion Memory-Augmented Agents
Institute of Finance and Technology, University College London, Gower Street WC1E 6BT London, United Kingdom · UZH Blockchain Center, Andreasstrasse 15, 8050 Zürich, Switzerland
Memory-Augmented Reinforcement Learning Agent for CAD Generation
May 19, 2026Yin Xiaolong, Liu Yu, Shen Jiahang +4Text-to-CAD Generation RL for Generative Models
Zhejiang University · Ocean University of China
Robo-Cortex: A Self-Evolving Embodied Agent via Dual-Grain Cognitive Memory and Autonomous Knowledge Induction
May 18, 2026Nga Teng Chan, Yi Zhang, Yechi Liu +9Embodied Navigation World Model-Based Planning
1The Hong Kong University of Science and Technology · 2X-Humanoid · Institute of Automation, CAS +1
SPIKE: An Adaptive Dual Controller Framework for Cost-Efficient Long-Horizon Game Agents
May 18, 2026Wencan Jiang, Jiangning Zhang, Jianbiao Mei +6Game-Playing Agents Feedback Control
1Zhejiang University · 2National University of Singapore · 3Nanyang Technological University
AtlasVA: Self-Evolving Visual Skill Memory for Teacher-Free VLM Agents
May 18, 2026Pan Wang, Yihao Hu, Xiujin Liu +3Memory-Augmented VLMs Reward Shaping
Ant Group · University of Science and Technology of China · Westlake University +2
Remembering More, Risking More: Longitudinal Safety Risks in Memory-Equipped LLM Agents
May 18, 2026Ahmad Al-Tawaha, Shangding Gu, Peizhi Niu +2Long-Horizon Agent Evaluation LLM Safety Evaluation
Virginia Tech · University of California, Berkeley · University of Illinois Urbana-Champaign
EXG: Self-Evolving Agents with Experience Graphs
May 18, 2026Yuxin Jin, Siyuan Zhang, Hanchen Wang +3Graph-Based Agent Memory Memory-Augmented Agents
University of Technology Sydney Sydney, Australia · The University of New South Wales Sydney, Australia
MATE: Solving Contextual Markov Decision Processes with Memory of Accumulated Transition Embeddings
May 17, 2026Himchan Hwang, Hyeokju Jeong, Gene Chung +3Markov Decision Processes Meta-Reinforcement Learning
Seoul National University · Saige · Ulsan National Institute of Science and Technology (UNIST)
LASAR: Towards Spatio-temporal Reasoning with Latent Cognitive Map
May 16, 2026Jinzhou Tang, Sidi Liu, Waikit Xiu +2Spatiotemporal Reasoning State Representation Learning
1Sun Yat-sen University
SE-GA: Memory-Augmented Self-Evolution for GUI Agents
May 16, 2026Shilong Jin, Lanjun Wang, Zhuosheng ZhangGUI Agents Mobile GUI Agents
College of Intelligence and Computing, Tianjin University, Tianjin, China · School of New Media and Communication, Tianjin University, Tianjin, China · School of Computer Science, Shanghai Jiao Tong University, Shanghai, China
Emergence of a Flow-Assisted Casting Strategy for Olfactory Navigation via Memory-Augmented Reinforcement Learning
May 16, 2026Changxu Zhao, Dongxiao Zhao, Xin Bian +1Reinforcement Learning Robot Navigation
State Key Laboratory of Ocean Engineering, School of Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, People’s Republic of China · State Key Laboratory of Fluid Power and Mechatronic Systems, Department of Engineering Mechanics, Zhejiang University, Hangzhou 310027, People’s Republic of China
Visual Agentic Memory: Enabling Online Long Video Understanding via Online Indexing, Hierarchical Memory, and Agentic Retrieval
May 15, 2026Aiden Yiliu Li, Nels Numan, Anthony SteedStreaming Video Understanding Agentic Retrieval
University College London
Toward Natural and Companionable Virtual Agents via Cross-Temporal Emotional Modeling
May 15, 2026Feier Qin, Xiao Li, Yi Zheng +5Long-Horizon LLM Agents Memory-Augmented Agents
Communication University of China BeiJing, China · Microsoft Research Asia BeiJing, China · Institute of Artificial Intelligence, China Telecom BeiJing, China
DrugSAGE:Self-evolving Agent Experience for Efficient State-of-the-Art Drug Discovery
May 14, 2026Yikun Zhang, Xiwei Cheng, Tianyu Liu +2AI Agents for Scientific Discovery AI-Assisted Scientific Research
1Northeastern University · 2Broad Institute of MIT and Harvard · 3Yale University +1
ASH: Agents that Self-Hone in Long-Horizon Worlds
May 14, 2026Benjamin Schneider, Xavier Schneider, Victor Zhong +1Game-Playing Agents Self-Improving Agents
University of Waterloo · National Research Council Canada
Composition of Memory Experts for Diffusion World Models
May 12, 2026Sebastian Stapf, Pablo Acuaviva Huertos, Aram Davtyan +1World Model Learning Memory-Augmented Agents
Computer Vision Group Department of Computer Science University of Bern
Grounding by Remembering: Cross-Scene and In-Scene Memory for 3D Functional Affordances
May 12, 2026Qirui Wang, Jingyi He, Yining Pan +2Visually Grounded Reasoning Memory-Augmented Agents
TUM · A*STAR
RoboMemArena: A Comprehensive and Challenging Robotic Memory Benchmark
May 11, 2026Huashuo Lei, Wenxuan Song, Huarui Zhang +10Long-Horizon Robotic Manipulation Vision-Language-Action Models
1The Hong Kong University of Science and Technology (Guangzhou) · 5Zhejiang University of Technology · 2Zhejiang University +3
NanoResearch: Co-Evolving Skills, Memory, and Policy for Personalized Research Automation
May 11, 2026Jinhang Xu, Qiyuan Zhu, Yujun Wu +11Multi-Agent LLM Systems LLM Agent Skill Learning
1Shanghai Artificial Intelligence Laboratory · 2The Hong Kong University of Science and Technology · 3Peking University +4
Retrieve-then-Steer: Online Success Memory for Test-Time Adaptation of Generative VLAs
May 11, 2026Jianchao Zhao, Huoren Yang, Yusong Hu +6Continual Test-Time Adaptation Robotic Manipulation
College of Artificial Intelligence, Xi’an Jiaotong University · 2One Robotics · 3Shenzhen University of Advanced Technology
Bridging the Cognitive Gap: A Unified Memory Paradigm for 6G Agentic AI-RAN
May 11, 2026Xijun Wang, Zhaoyang Liu, Chenyuan Feng +36G Networks Wireless Communications
Sun Yat-sen University, China · University of Exeter, U.K. · Zhejiang University, China +2
Portable Agent Memory: A Protocol for Cryptographically-Verified Memory Transfer Across Heterogeneous AI Agents
May 10, 2026Santhosh Kumar RavindranAgent Memory Persistent Memory for Language Models
Microsoft Corporation, Redmond, WA, USA
ORACLE: Anticipating Scams from Partial Trajectories in Streaming App Usage
May 9, 2026Wenbo Gao, Songbai Tan, Zhongan Wang +6Online Anomaly Detection Financial Fraud Detection
Harbin Institute of Technology, Shenzhen · Shenzhen University · Zhejiang University +4
ShadowMerge: A Novel Poisoning Attack on Graph-Based Agent Memory via Relation-Channel Conflicts
May 9, 2026Yang Luo, Zifeng Kang, Tiantian Ji +4Agent Memory Poisoning Graph-Based Agent Memory
Key Laboratory of Trustworthy Distributed Computing and Service (MoE), Beijing University of Posts and Telecommunications · Beijing University of Posts and Telecommunications · Zhongguancun Laboratory
Ace-Skill: Bootstrapping Multimodal Agents with Prioritized and Clustered Evolution
May 9, 2026Feng Xiong, Zengbin Wang, Yong Wang +5Continual Learning for LLM Agents Agent Skill Learning
1AMAP, Alibaba Group · 2CASIA · 3BNU
GASim: A Graph-Accelerated Hybrid Framework for Social Simulation
May 8, 2026Xuan Zhou, Yanhui Sun, Hantao Yao +3Multi-Agent LLM Systems Human Behavior Simulation
University of Science and Technology of China · BASIS International School Park Lane Harbour
MemCompiler: Compile, Don't Inject -- State-Conditioned Memory for Embodied Agents
May 8, 2026Xin Ding, Xinrui Wang, Yifan Yang +9Embodied AI Memory-Augmented Agents
University of Science and Technology of China · Huazhong University of Science and Technology · Microsoft Research +2
X-OmniClaw Technical Report: A Unified Mobile Agent for Multimodal Understanding and Interaction
May 7, 2026Xiaoming Ren, Ru Zhen, Chao Li +11Multimodal Grounding GUI Agents
Multi-X Team, OPPO AI Center
From Storage to Experience: A Survey on the Evolution of LLM Agent Memory Mechanisms
May 7, 2026Jinghao Luo, Yuchen Tian, Chuxue Cao +6Continual Learning for LLM Agents LLM Agent Memory
2South China Normal University · 1Hong Kong Baptist University · 3Hong Kong University of Science and Technology +2
Trojan Hippo Bench: A Dynamic Benchmark for Persistent Memory Attacks and Defenses in LLM Agents
May 3, 2026Debeshee Das, Julien Piet, Darya Kaviani +3LLM Agent Security AI Agent Security Benchmarks
ETH Zürich · UC Berkeley · Snyk

May 19, 2026, q-fin.CPJ/K move · Enter open · S save

Memory-Induced Supra-Competitive Outcomes Between Deep Reinforcement Learning Agents in Optimal Trade Execution

Christos Spyridon Koulouris, Carlo Campajola

Institute of Finance and Technology, University College London, Gower Street WC1E 6BT London, United Kingdom · UZH Blockchain Center, Andreasstrasse 15, 8050 Zürich, Switzerland

Algorithmic Collusion Memory-Augmented Agents Multi-Agent Reinforcement Learning Algorithmic Trading

Open paper AskPDF arXiv

In this paper, we investigate whether deep reinforcement-learning agents interacting in a shared optimal-execution environment can sustain supra-competitive outcomes, in the sense of achieving lower implementation shortfalls than the relevant game-theoretical competitive benchmark. We study a two-agent Almgren-Chriss liquidation game and examine how learned behavior depends on intra-episode environment feedback, the ability to interpret the mid-price and the agent's knoledge of the past. We first use ex-ante schedule-learning agents to remove intra-episode feedback and isolate what can arise when agents commit to complete liquidation trajectories before execution begins. We then allow agents to condition on the evolving state using a variety of DDQN architectures. We find that, when agents are given access to intra-episode history, especially recent prices and own past actions, supra-competitive outcomes become substantially more frequent and more persistent. These findings indicate that supra-competitive behavior in this execution game is driven not by multi-agent learning or by current price observation alone, but by feedback, memory, and state-contingent interaction along the realized execution path.

Momentum

Related topics

Latest papers 235