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Can Reinforcement Learning Efficiently Discover Price Manipulation?

BACKGROUND
1 SIGNALFIRST DETECTED 9 July 2026
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How the story developed
9 Jul
Other feeds and industry voices
6 Oct
Self-Propagating Misalignment in LLM Agents, and Why Auditing or Disabling Memory Is Not Enough

arXiv:2610.04083v1 Announce Type: new Abstract: Memory poisoning attacks on LLM agents typically assume an external adversary who plants content in the agent's persistent memory

REPORT · WHO · ArXiv CS.AIOPEN STORY
14 Apr
Instructing LLMs to Negotiate using Reinforcement Learning with Verifiable Rewards

arXiv:2604.09855v1 Announce Type: new Abstract: The recent advancement of Large Language Models (LLMs) has established their potential as autonomous interactive agents. However,

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12 May
Auto-Rubric as Reward: From Implicit Preferences to Explicit Multimodal Generative Criteria

arXiv:2605.08354v1 Announce Type: new Abstract: Aligning multimodal generative models with human preferences demands reward signals that respect the compositional,

REPORT · WHAT · ArXiv CS.AIOPEN STORY
9 Jul
Deep Reinforcement Learning for Reliability Based Bi-Objective Portfolio Optimization

arXiv:2607.06610v1 Announce Type: cross Abstract: Portfolio optimization under uncertainty is inherently a multi-objective decision problem involving complex interactions among

REPORT · WHAT · ArXiv CS.AIOPEN STORY
16 Sept
ViperQ: Order Flow Pattern Recognition via Auction Market Theory for Reinforcement Learning Trading

arXiv:2609.13825v1 Announce Type: new Abstract: Reinforcement learning trading systems published in the academic literature overwhelmingly rely on price-aggregate state

REPORT · HOW · ArXiv CS.AIOPEN STORY
20 Mar
Single Agent Robust Deep Reinforcement Learning for Bus Fleet Control

arXiv:2508.20784v2 Announce Type: replace Abstract: Bus bunching remains a challenge for urban transit due to stochastic traffic and passenger demand. Traditional solutions rely

REPORT · WHAT · ArXiv CS.AIOPEN STORY
14 Apr
A Dual-Positive Monotone Parameterization for Multi-Segment Bids and a Validity Assessment Framework for Reinforcement Learning Agent-based Simulation of Electricity Markets

arXiv:2604.10252v1 Announce Type: new Abstract: Reinforcement learning agent-based simulation (RL-ABS) has become an important tool for electricity market mechanism analysis and

REPORT · HOW · ArXiv CS.AIOPEN STORY
20 Mar
Adaptive Regime-Aware Stock Price Prediction Using Autoencoder-Gated Dual Node Transformers with Reinforcement Learning Control

arXiv:2603.19136v1 Announce Type: cross Abstract: Stock markets exhibit regime-dependent behavior where prediction models optimized for stable conditions often fail during

REPORT · WHERE · ArXiv CS.AIOPEN STORY
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