4 papers
ReflectDrive-2: Reinforcement-Learning-Aligned Self-Editing for Discrete Diffusion Driving
Huimin Wang, Yue Wang, Bihao Cui +7
We introduce ReflectDrive-2, a masked discrete diffusion planner with separate action expert for autonomous driving that represents plans as discrete trajectory tokens and generate…
LANTERN: LLM-Augmented Neurosymbolic Transfer with Experience-Gated Reasoning Networks
Mahyar Alinejad, Yue Wang, Amrit Singh Bedi +1
Transfer learning in reinforcement learning (RL) seeks to accelerate learning in new tasks by leveraging knowledge from related sources. Existing neurosymbolic transfer methods, ho…
CADENT: Gated Hybrid Distillation for Sample-Efficient Transfer in Reinforcement Learning
Mahyar Alinejad, Yue Wang, George Atia
Transfer learning promises to reduce the high sample complexity of deep reinforcement learning (RL), yet existing methods struggle with domain shift between source and target envir…
RLAF: Reinforcement Learning from Automaton Feedback
Mahyar Alinejad, Alvaro Velasquez, Yue Wang +1
Reinforcement Learning (RL) in environments with complex, history-dependent reward structures poses significant challenges for traditional methods. In this work, we introduce a nov…