Tag: adversarial reinforcement learning
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GIFT: Enhancing Stability in Deep Reinforcement Learning
Discover how GIFT improves global stability in deep reinforcement learning without sacrificing performance for real-world AI applications.
C-MORAL: Reinforcement Learning for Molecular Optimization
Discover C-MORAL, a novel reinforcement learning framework optimizing multi-objective molecular design for drug discovery with superior performance.
K-Score: Kalman Filter for Reward Normalization in RL
Discover how K-Score uses Kalman filters to improve reward normalization, boosting learning speed and stability in reinforcement learning.
Post-Training Steering in Offline Reinforcement Learning
Explore unified closed-form methods for adapting frozen policies in offline reinforcement learning without retraining, ensuring robust deployment.
KARL: Reducing LLM Hallucinations with Knowledge-Aware RL
Discover KARL, a novel reinforcement learning method that reduces hallucinations in large language models by recognizing knowledge boundaries.