Yaodong Yang

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