Xidong Feng
12 papers · 2020–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (32) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
π§¬
Topic Evolution
π
Grand Slam
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
ποΈ
Keyword Collector
(68)
Venues
Top co-authors
Research topics
Reinforcement Learning
(9)
Artificial Intelligence
(8)
Core AI
(7)
Methods
(7)
Machine Learning
(6)
Deep Learning
(4)
Applications
(3)
Learning Types Β· Machine Learning
(3)
Natural Language Processing
(2)
Learning Paradigms
(2)
Learning Types Β· Deep Learning
(2)
Models
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Healthcare & Medicine
(1)
Keywords
multi-agent reinforcement learning
(4)
large language model
(3)
reinforcement learning
(3)
meta-reinforcement learning
(3)
sequential decision making
(1)
language modeling
(1)
offline reinforcement learning
(1)
bayesian inference
(1)
contrastive learning
(1)
uncertainty quantification
(1)
game theory
(1)
question answering
(1)
policy learning
(1)
interpretable machine learning
(1)
image reconstruction
(1)
variational inference
(1)
question generation
(1)
markov decision process
(1)
nash equilibrium
(1)
compressed sensing
(1)
Papers
Efficient Reinforcement Learning with Large Language Model Priors
ICLR 2025
Evaluating In Silico Creativity: An Expert Review of AI Chess Compositions
NeurIPS 2025
AlphaZero-Like Tree-Search can Guide Large Language Model Decoding and Training
ICML 2024
Heterogeneous-Agent Reinforcement Learning
JMLR 2024
Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs
NeurIPS 2024
ChessGPT: Bridging Policy Learning and Language Modeling
NeurIPS 2023
MANSA: Learning Fast and Slow in Multi-Agent Systems
ICML 2023
A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning
NeurIPS 2022
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning
NeurIPS 2022
Neural Auto-Curricula in Two-Player Zero-Sum Games
NeurIPS 2021
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning
AAAI 2021
MRI Reconstruction with Interpretable Pixel-Wise Operations Using Reinforcement Learning
AAAI 2020