Skip to content
conftrace_

Xiong-Hui Chen

12 papers · 2021–2025 · 3 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

Jump to papers ↓
+5 more ↓ πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (25) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot Β· Bronze 🀝 Dynamic Duo (11)
πŸ‘‘ Triple Crown ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (53)

Venues

NeurIPS (7) ICLR (3) ICML (2)

Top co-authors

Yang Yu (11) Zongzhang Zhang (4) Si-Hang Yang (3) Jing-Cheng Pang (3) Jingcheng Pang (2) Kaiyuan Li (2) Rong-Jun Qin (2) Shengyi Jiang (2) Feng Xu (1) Chenghe Wang (1)

Research topics

Reinforcement Learning (8) Artificial Intelligence (7) Machine Learning (7) Methods (6) Core AI (5) Learning Types (4) Application Areas (2) Applications (2) Learning Paradigms (2) Optimization & Theory (2) Deep Learning (1) Natural Language Processing (1) Robotics (1) Architectures (1) Capabilities (1)

Keywords

offline reinforcement learning (4) large language model (3) policy learning (3) dynamics model (2) reinforcement learning (2) policy optimization (1) adversarial training (1) zero-shot learning (1) text summarization (1) off-policy evaluation (1) domain adaptation (1) instruction following (1) visual reinforcement learning (1) model predictive control (1) behavior cloning (1) hierarchical reinforcement learning (1) model-based reinforcement learning (1) natural language (1) robot manipulation (1) sim-to-real transfer (1)

Papers

AFlow: Automating Agentic Workflow Generation ICLR 2025 Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration ICML 2024 KALM: Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts NeurIPS 2024 Language Model Self-improvement by Reinforcement Learning Contemplation ICLR 2024 Policy-conditioned Environment Models are More Generalizable ICML 2024 Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting NeurIPS 2024 Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning ICLR 2024 Adversarial Counterfactual Environment Model Learning NeurIPS 2023 Natural Language Instruction-following with Task-related Language Development and Translation NeurIPS 2023 NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning NeurIPS 2022 Cross-modal Domain Adaptation for Cost-Efficient Visual Reinforcement Learning NeurIPS 2021 Offline Model-based Adaptable Policy Learning NeurIPS 2021