Tag: adversarial reinforcement learning
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Zero-Shot STL Planning with Dynamic Semantic Maps
Discover zero-shot STL planning using map-conditioned transformers and heuristic methods for robust, real-time control in dynamic semantic maps.
Faithful Mobile GUI Agents with Guided Advantage Estimator
Discover how Faithful-Agent boosts mobile GUI agents' reliability using guided advantage estimator and evidence-based actions for improved AI interactions.
PERSA: Personalized Professor-Style Feedback Using RL with LLMs
Discover PERSA, a reinforcement learning framework that personalizes professor-style feedback with LLMs, boosting style alignment and accuracy in education...
MolReAct: LLM-Guided Reinforcement Learning for Lead Optimization
Discover MolReAct, a reinforcement learning framework using LLMs and synthesis-constrained actions to optimize drug leads efficiently and validly.
PORTool: Optimizing Multi-Tool AI Reasoning with Rewarded Trees
Discover how PORTool improves AI multi-tool reasoning using importance-aware policy optimization and rewarded rollout trees for better accuracy and efficie...