Tag: adversarial reinforcement learning
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Lyapunov-Guided Self-Alignment for Safe Offline RL
Discover Lyapunov-guided self-alignment for test-time adaptation in offline safe reinforcement learning to enhance AI safety and performance.
Uncertainty-Aware Reward Discounting to Prevent Reward Hacking
Discover how uncertainty-aware reward discounting reduces reward hacking in reinforcement learning, improving stability and real-world AI alignment.
Reward-Lens: Interpretability Library for AI Reward Models
Discover Reward-Lens, an open-source library for mechanistic interpretability of AI reward models, enhancing transparency in reinforcement learning.
FutureWorld: Live AI Training with Real-World Rewards
Discover FutureWorld, a live AI environment for training predictive agents using real-world outcome rewards and continuous reinforcement learning.
KLong: Advanced LLM Agent for Long-Horizon Tasks
Discover KLong, the cutting-edge LLM agent trained for complex, long-horizon tasks using trajectory-splitting SFT and progressive reinforcement learning.