Meng Fang

10

Papers

19

Total Citations

Papers (10)

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

Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling

Large Language Models Are Neurosymbolic Reasoners

Saliency Propagation From Simple to Difficult

LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning

Curriculum-guided Hindsight Experience Replay

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

Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach

COOM: A Game Benchmark for Continual Reinforcement Learning

Dynamic Sparsity Is Channel-Level Sparsity Learner