Confounding Robust Deep Reinforcement Learning: A Causal Approach

How to Build a Model-Native Agent That Learns Internal Planning, Memory, and Multi-Tool Reasoning Through End-to-End Reinforcement Learning

Advancing site-specific disease and pest management in precision agriculture: From reasoning-driven foundation models to adaptive, feedback-based learning

Incentivizing Consistent, Effective and Scalable Reasoning Capability in Audio LLMs via Reasoning Process Rewards

UniRL-Zero: Reinforcement Learning on Unified Models with Joint Language Model and Diffusion Model Experts

R2L: Reliable Reinforcement Learning: Guaranteed Return & Reliable Policies in Reinforcement Learning

Internalizing World Models via Self-Play Finetuning for Agentic RL