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Yaodong Yang

95 papers · 2018–2026 · 13 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (13) πŸƒ Academic Marathon (7) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (14) πŸ—ΊοΈ Taxonomy Completionist (17) 🌈 Renaissance Researcher (6) 🏠 Conference Loyalist (24) πŸ”¬ Deep Specialist (30) πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ† Keyword Champion (3) πŸ† Grand Slam πŸ‘₯ Mega-Team (35) 🀝 Dynamic Duo (22) πŸ”₯ Unstoppable (8) ⚑ Prolific Year (12) πŸ’Ž Century Club (94) πŸ—ƒοΈ Keyword Collector (57)

Conferences

NIPS (24) AAAI (15) ICLR (15) ICML (15) ACL (6) CORL (5) IJCAI (5) JMLR (5) CVPR (1) EMNLP (1) ICCV (1) NAACL (1) WACV (1)

Top co-authors

Jun Wang (22) Jiaming Ji (19) Ying Wen (13) Yifan Zhong (10) Jianye Hao (9) Josef Dai (8) Weinan Zhang (7) Song-chun Zhu (7) Xuehai Pan (7) Yuanpei Chen (7)

Keywords

multi-agent reinforcement learning (28) large language model (13) multi-agent system (10) game theory (10) nash equilibrium (9) policy optimization (6) reinforcement learning from human feedback (6) reinforcement learning (6) safe reinforcement learning (5) human preference (4) fictitious play (4) deep reinforcement learning (4) policy learning (4) determinantal point process (3) transformer architecture (3) offline reinforcement learning (3) responsible ai (3) preference optimization (3) multi-agent learning (3) preference learning (3)

Papers

DexGraspVLA: A Vision-Language-Action Framework Towards General Dexterous Grasping AAAI 2026
Reward Generalization in RLHF: A Topological Perspective ACL 2025
Benchmarking Multi-National Value Alignment for Large Language Models ACL 2025
Enhancing LLM-Based Social Bot via an Adversarial Learning Framework EMNLP 2025
SafeLawBench: Towards Safe Alignment of Large Language Models ACL 2025
Magnetic Preference Optimization: Achieving Last-iterate Convergence for Language Model Alignment ICLR 2025
Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability NAACL 2025
In-Context Editing: Learning Knowledge from Self-Induced Distributions ICLR 2025
SAE-V: Interpreting Multimodal Models for Enhanced Alignment ICML 2025
ClutterDexGrasp: A Sim-to-Real System for General Dexterous Grasping in Cluttered Scenes CORL 2025
Amulet: ReAlignment During Test Time for Personalized Preference Adaptation of LLMs ICLR 2025
Mitigating Reward Over-Optimization in RLHF via Behavior-Supported Regularization ICLR 2025
Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models ICLR 2025
Falcon: Fast Visuomotor Policies via Partial Denoising ICML 2025
RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors AAAI 2025
Towards Efficient Collaboration via Graph Modeling in Reinforcement Learning AAAI 2025
Differentiable Information Enhanced Model-Based Reinforcement Learning AAAI 2025
Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction AAAI 2025
Sequence to Sequence Reward Modeling: Improving RLHF by Language Feedback AAAI 2025
Language Models Resist Alignment: Evidence From Data Compression ACL 2025
PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference ACL 2025
Boosting Policy and Process Reward Models with Monte Carlo Tree Search in Open-Domain QA ACL 2025
Aligner: Efficient Alignment by Learning to Correct NIPS 2024
Scalable Constrained Policy Optimization for Safe Multi-agent Reinforcement Learning NIPS 2024
STAS: Spatial-Temporal Return Decomposition for Solving Sparse Rewards Problems in Multi-agent Reinforcement Learning AAAI 2024
ProAgent: Building Proactive Cooperative Agents with Large Language Models AAAI 2024
Object-Centric Dexterous Manipulation from Human Motion Data CORL 2024
Neural Attention Field: Emerging Point Relevance in 3D Scenes for One-Shot Dexterous Grasping CORL 2024
Sample-Efficient Multiagent Reinforcement Learning with Reset Replay ICML 2024
Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning ICML 2024
End-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations ICML 2024
Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game ICLR 2024
CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents ICLR 2024
Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation ICML 2024
AnySkill: Learning Open-Vocabulary Physical Skill for Interactive Agents CVPR 2024
Safe RLHF: Safe Reinforcement Learning from Human Feedback ICLR 2024
SafeDreamer: Safe Reinforcement Learning with World Models ICLR 2024
Maximum Entropy Heterogeneous-Agent Reinforcement Learning ICLR 2024
DPPMask: Masked Image Modeling With Determinantal Point Processes WACV 2024
A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning AAAI 2024
OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research JMLR 2024
Heterogeneous-Agent Reinforcement Learning JMLR 2024
Off-Agent Trust Region Policy Optimization IJCAI 2024
ProgressGym: Alignment with a Millennium of Moral Progress NIPS 2024
SafeSora: Towards Safety Alignment of Text2Video Generation via a Human Preference Dataset NIPS 2024
Panacea: Pareto Alignment via Preference Adaptation for LLMs NIPS 2024
MANSA: Learning Fast and Slow in Multi-Agent Systems ICML 2023
Safety Gymnasium: A Unified Safe Reinforcement Learning Benchmark NIPS 2023
BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset NIPS 2023
Multi-Agent First Order Constrained Optimization in Policy Space NIPS 2023
Team-PSRO for Learning Approximate TMECor in Large Team Games via Cooperative Reinforcement Learning NIPS 2023
Hierarchical Multi-Agent Skill Discovery NIPS 2023
Policy Space Diversity for Non-Transitive Games NIPS 2023
Dynamic Handover: Throw and Catch with Bimanual Hands CORL 2023
ACE: Cooperative Multi-Agent Q-learning with Bidirectional Action-Dependency AAAI 2023
Learning to Shape Rewards Using a Game of Two Partners AAAI 2023
Subspace-Aware Exploration for Sparse-Reward Multi-Agent Tasks AAAI 2023
UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-Aware Curriculum and Iterative Generalist-Specialist Learning ICCV 2023
Quality-Similar Diversity via Population Based Reinforcement Learning ICLR 2023
Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks ICLR 2023
A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems ICML 2023
Regret-Minimizing Double Oracle for Extensive-Form Games ICML 2023
GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models ICML 2023
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning JMLR 2023
MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning Library JMLR 2023
TorchOpt: An Efficient Library for Differentiable Optimization JMLR 2023
MATE: Benchmarking Multi-Agent Reinforcement Learning in Distributed Target Coverage Control NIPS 2022
Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning NIPS 2022
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem NIPS 2022
A Unified Diversity Measure for Multiagent Reinforcement Learning NIPS 2022
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning ICLR 2022
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning ICLR 2022
What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator AAAI 2022
Constrained Update Projection Approach to Safe Policy Optimization NIPS 2022
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning NIPS 2022
On the Convergence of Fictitious Play: A Decomposition Approach IJCAI 2022
Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing NIPS 2022
A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning NIPS 2022
Settling the Variance of Multi-Agent Policy Gradients NIPS 2021
Neural Auto-Curricula in Two-Player Zero-Sum Games NIPS 2021
Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games NIPS 2021
Modelling Behavioural Diversity for Learning in Open-Ended Games ICML 2021
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction AAAI 2021
Learning in Nonzero-Sum Stochastic Games with Potentials ICML 2021
Bi-Level Actor-Critic for Multi-Agent Coordination AAAI 2020
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning ICML 2020
Multi-Agent Determinantal Q-Learning ICML 2020
Replica-Exchange Nos\'e-Hoover Dynamics for Bayesian Learning on Large Datasets NIPS 2020
Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning IJCAI 2020
SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving CORL 2020
Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning ICLR 2019
Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Deep Reinforcement Learning Framework IJCAI 2019
Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid IJCAI 2018
Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning NIPS 2018
Mean Field Multi-Agent Reinforcement Learning ICML 2018