Tag: adversarial reinforcement learning
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Adaptive Multi-Task Learning with Spiking Neural Networks
Discover SwitchMT: scalable multi-task learning using spiking neural networks and adaptive task-switching for smarter autonomous agents.
Unified Entropy Control Boosts Reinforcement Learning
Discover how Unified Entropy Control enhances reinforcement learning with targeted exploration and stable optimization for better model performance.
Mind DeepResearch: Efficient Multi-Agent AI Framework
Discover Mind DeepResearch, a multi-agent AI framework with a unique training pipeline achieving top performance with 30B-parameter models.
Measuring Interaction Efficiency in Deployed Reinforcement Learning
Discover a novel bounded measure to monitor and improve interaction efficiency in deployed reinforcement learning agents for better reliability.
Enhancing LLM Reliability with Reinforcement Learning
Discover how Deliberative Searcher boosts large language model reliability using reinforcement learning and retrieval-based verification.