Tag: adversarial reinforcement learning
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Task Rewards vs Distribution Sharpening in AI Models
Explore how task-reward-based learning outperforms distribution sharpening in AI, boosting model skills and stability for better performance.
AtManRL: Enhancing Faithful Reasoning with Attention Saliency
Discover AtManRL, a novel method using differentiable attention saliency and reinforcement learning to improve faithful reasoning in large language models.
AgentV-RL: Advanced Reward Modeling with Agentic Verifier
Discover how AgentV-RL enhances reward modeling using an agentic verifier for reliable, interpretable AI reasoning and improved performance.
Robust Risk-Sensitive Cooperation in Multi-Agent RL
Explore robust risk-sensitive cooperation strategies in non-stationary multi-agent reinforcement learning to improve stability amid partner uncertainty.
Hierarchical Active Inference with Successor Representations
Explore hierarchical active inference using successor representations for efficient planning and decision-making in complex environments and RL tasks.