Tag: adversarial reinforcement learning
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Gold-Medal Olympiad Reasoning via Unified Scaling Method
Discover a unified scaling method that boosts AI reasoning to gold-medal Olympiad levels in math and science competitions with advanced training techniques...
D-VLA: Scalable Distributed RL for Vision-Language-Action AI
Discover D-VLA, a high-concurrency distributed RL framework boosting efficiency and scalability in Vision-Language-Action models for embodied AI.
Agentic AI & LLMs for UAV Logistics Scheduling with MEC
Optimize UAV-assisted logistics and mobile edge computing using an agentic AI framework with large language models and chain-of-thought reasoning.
MAVIC: Macro-Action Value Correction for Multi-Agent Instruction Compliance
Discover MAVIC, a novel method improving multi-agent reinforcement learning by correcting value estimates for better instruction compliance and task perfor...
Reciprocity Gradient: Boosting AI Strategic Cooperation
Discover how the Reciprocity Gradient optimizes AI agents' strategic interactions by enhancing cooperation and reputation management in multi-agent systems...