Shenao Zhang
10 papers · 2022–2025 · 3 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (14) π£ Hot Topic Early Bird π Century Club Β· Bronze
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Keyword Collector
(54)
Venues
Top co-authors
Research topics
Keywords
model-based reinforcement learning
(3)
policy gradient
(2)
regret bound
(2)
direct preference optimization
(2)
policy optimization
(2)
preference alignment
(1)
robot learning
(1)
offline reinforcement learning
(1)
reinforcement learning from human feedback
(1)
graphical model
(1)
posterior sampling
(1)
posterior distribution
(1)
value function
(1)
language model alignment
(1)
variance
(1)
bootstrapping
(1)
probabilistic framework
(1)
policy learning
(1)
sample efficiency
(1)
reinforcement learning
(1)
Papers
BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning
ICML 2025
Offline Reinforcement Learning for LLM Multi-step Reasoning
ACL 2025
Reward-Augmented Data Enhances Direct Preference Alignment of LLMs
ICML 2025
Adaptive-Gradient Policy Optimization: Enhancing Policy Learning in Non-Smooth Differentiable Simulations
ICML 2024
Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer
NeurIPS 2024
Reason for Future, Act for Now: A Principled Architecture for Autonomous LLM Agents
ICML 2024
Adaptive Barrier Smoothing for First-Order Policy Gradient with Contact Dynamics
ICML 2023
Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration
NeurIPS 2023
Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms
NeurIPS 2023
Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement Learning
NeurIPS 2022