Tag: adversarial reinforcement learning
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Robust Token Optimization for Reliable RLHF in LLMs
Enhance Large Language Models' reliability with Distributionally Robust Token Optimization combining RLHF and DRO for improved reasoning tasks.
E3-TIR: Boosting Tool-Integrated Reasoning Efficiency
Discover E3-TIR, a novel training paradigm enhancing tool-integrated reasoning with expert guidance and self-exploration for better AI performance.
HiL-Bench: Evaluating AI Agents’ Help-Seeking Judgment
Discover HiL-Bench, a benchmark measuring AI agents' ability to know when to ask for help in uncertain tasks, improving decision-making and performance.
Spatial-Gym: Stepwise Evaluation of Spatial Reasoning Agents
Discover how Spatial-Gym benchmarks spatial reasoning in AI agents step-by-step, revealing key insights to improve navigation and decision-making models.
Advantage-Guided Diffusion in Model-Based Reinforcement Learning
Enhance model-based reinforcement learning with advantage-guided diffusion to improve trajectory sampling and boost long-term returns in control tasks.