Tag: adversarial reinforcement learning
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Deep RL Observer Control for Accurate Bearings-Only Tracking
Explore a deep reinforcement learning approach for bearings-only tracking, improving accuracy and robustness in autonomous target tracking systems.
12 AI Agents Simulate Jury Decision-Making in LLM Study
Explore how 12 AI agents modeled on '12 Angry Men' reveal insights into multi-agent LLM decision-making and jury deliberation dynamics.
Enhancing Multi-Hop Reasoning with Structural Causal Models
Discover how Structural Causal Models and Group Relative Policy Optimization improve multi-hop fact verification accuracy and interpretability.
CoFlow: Efficient Multi-Agent Coordination in Offline Decision-Making
Discover CoFlow, the innovative architecture enhancing offline multi-agent decision-making with efficient, coordinated few-step flow techniques.
Segment-Aligned Policy Optimization for Multi-Modal AI Reasoning
Discover how Segment-Aligned Policy Optimization (SAPO) enhances multi-modal reasoning in AI by improving policy updates and training stability.