activity
20192026
most citedDistributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors

331 citations · 775 across the 25 of their papers we have counts for

collaborators

29 papers

cs.AI2026

World Action Critic (WAC) Model: Joint Foresight and Criticism for Policy Learning

Xiangteng Zhang, Haoyuan Liu, Yang Guan +7

World models have shown considerable promise in sequential decision-making by anticipating the consequences of actions and providing predictive foresight for policy learning. Howev…

cs.RO2026

Evaluation Is All You Need for Multi-Modal Autonomous Driving

Zeyu He, Shiqi Liu, Ke Chen +14

Multi-modal planning is promising for autonomous driving by representing multiple plausible behaviors in ambiguous and long-tail scenarios. Existing methods mainly focus on improvi…

cs.LG2026

Past, Future, All at Once: Mitigating Stability-Plasticity Dilemma via Post-hoc JANUS Rectification

Zhilong Zheng, Letian Tao, Yang Guan +7

Fine-tuning foundation models on new tasks inevitably suffer from catastrophic forgetting. While existing works attempt to mitigate this on the basis of parameter-efficient fine-tu…

cs.LG2026

Beyond Token-Local Imitation: Reward-Compatible Temporal Credit Assignment for On-Policy Distillation

Shiqi Liu, Zeyu He, Letian Tao +9

On-policy distillation (OPD) has emerged as an effective approach for large language model post-training, yet existing objectives face a trade-off between objective fidelity and op…

quant-ph2026

Optimal copy complexity of quantum state cloning

Sangwoo Jeon, Vaughn Sohn, Changhun Oh

Quantum state cloning is the task of approximately producing additional copies of an unknown quantum state from a finite number of input copies. The optimal cloning fidelity is kno…

cs.LG2026

On the Identifiability of Controlled World Models

Xiangteng Zhang, Yang Guan, Bo Zhang +3

World model serves as a promising tool to infer environment dynamics under high-dimensional observations and candidate actions. Recently, LeCun's JEPA provides a compelling framewo…