Tag: adversarial reinforcement learning
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Intentional Updates to Improve Streaming Reinforcement Learning
Discover how intentional updates stabilize and enhance streaming reinforcement learning by controlling update magnitudes for better performance.
Low-Rank Adaptation Boosts Off-Policy RL Critic Learning
Discover how Low-Rank Adaptation improves critic learning in off-policy reinforcement learning by reducing overfitting and enhancing training stability.
Curiosity-Critic: Boost AI Learning with Cumulative Prediction Error
Discover how Curiosity-Critic uses cumulative prediction error as an intrinsic reward to enhance world model training and improve AI exploration efficiency...
EasyRL: Data-Efficient Self-Evolving Large Language Models
Discover EasyRL, a data-efficient reinforcement learning method that boosts LLMs' performance using minimal labeled data and cognitive learning strategies.
ARGUS: Advanced GPU Optimization via Data-Flow Invariants
Discover ARGUS, a cutting-edge GPU optimization framework using data-flow invariants to boost kernel performance close to hand-optimized levels.