Tag: adversarial reinforcement learning
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HiMA-Ecom: Advanced Training for Multi-Agent E-commerce AI
Discover HiMA-Ecom, a benchmark for joint training of hierarchical multi-agent AI assistants in e-commerce, boosting efficiency with HiMA-R1 method.
Flow-Based Policy with Distributional RL for Trajectory Optimization
Discover how flow-based policies combined with distributional reinforcement learning enhance trajectory optimization and improve RL agent performance.
Adaptive Hint Learning for Enhanced Reinforcement Learning
Discover HiLL, a novel framework using adaptive hints to improve reinforcement learning by overcoming advantage collapse and boosting policy transfer.
Optimsyn: Optimizing Synthetic Data with Influence-Guided Rubrics
Discover Optimsyn, a framework that enhances synthetic data generation using influence-guided rubric optimization and reinforcement learning for better mod...
Asymmetric Actor-Critic for Reliable Multi-turn LLM Agents
Enhance multi-turn LLM agent reliability with an asymmetric actor-critic framework using proprietary LLMs and lightweight open-source critics.