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Home/Authors/Meng Fang

Meng Fang

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 10:11 PM AMS

8

papers

167

total citations

papers (8)

Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games

NEURIPS 2020arXiv

Large Language Models Are Neurosymbolic Reasoners

Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach

NEURIPS 2023arXiv

Dynamic Sparsity Is Channel-Level Sparsity Learner

NEURIPS 2023arXiv

GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned Models

HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents

Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling

COOM: A Game Benchmark for Continual Reinforcement Learning