PAIR Lab: PKU Alignment and Interaction Research Lab
PAIR Lab: PKU Alignment and Interaction Research Lab
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1
ProgressGym: Alignment with a Millennium of Moral Progress
Frontier AI systems, including large language models (LLMs), hold increasing influence over the epistemology of human users. Such …
Tianyi Qiu
,
Yang Zhang
,
Xuchuan Huang
,
Jasmine Xinze Li
,
Jiaming Ji
,
Yaodong Yang
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Efficient adaptation in mixed-motive environments via hierarchical opponent modeling and planning
Despite the recent successes of multi-agent reinforcement learning (MARL) algorithms, efficiently adapting to co-players in …
Yizhe Huang
,
Anji Liu
,
Fanqi Kong
,
Yaodong Yang
,
Song-Chun Zhu
,
Xue Feng
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Anyskill: Learning open-vocabulary physical skill for interactive agents
Traditional approaches in physics-based motion generation centered around imitation learning and reward shaping often struggle to adapt …
Jieming Cui
,
Tengyu Liu
,
Nian Liu
,
Yaodong Yang
,
Yixin Zhu
,
Siyuan Huang
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End-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations
Neuro-symbolic reinforcement learning (NS-RL) has emerged as a promising paradigm for explainable decision-making, characterized by the …
Lirui Luo
,
Guoxi Zhang
,
Hongming Xu
,
Yaodong Yang
,
Cong Fang
,
Qing Li
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Grasp multiple objects with one hand
The intricate kinematics of the human hand enable simultaneous grasping and manipulation of multiple objects, essential for tasks, such …
Yuyang Li
,
Bo Liu
,
Yiran Geng
,
Puhao Li
,
Yaodong Yang
,
Yixin Zhu
,
Tengyu Liu
,
Siyuan Huang
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STAS: Spatial-Temporal Return Decomposition for Multi-agent Reinforcement Learning
Centralized Training with Decentralized Execution (CTDE) has been proven to be an effective paradigm in cooperative multi-agent …
Sirui Chen
,
Zhaowei Zhang
,
Yaodong Yang
,
Yali Du
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Maximum entropy heterogeneous-agent reinforcement learning
Multi-agent reinforcement learning (MARL) has been shown effective for cooperative games in recent years. However, existing …
Jiarong Liu
,
Yifan Zhong
,
Siyi Hu
,
Haobo Fu
,
QIANG FU
,
Xiaojun Chang
,
Yaodong Yang
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BeaverTails: A Human-Preference Dataset for LLM Harmlessness Alignment
In this paper, we introduce the BeaverTails dataset, aimed at fostering research on safety alignment in large language models (LLMs). …
Jiaming Ji
,
Mickel Liu
,
Juntao Dai
,
Xuehai Pan
,
Chi Zhang
,
Ce Bian
,
Boyuan Chen
,
Ruiyang Sun
,
Yizhou Wang
,
Yaodong Yang
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Is Nash Equilibrium Approximator Learnable?
In this paper, we investigate the learnability of the function approximator that approximates Nash equilibrium (NE) for games generated …
Zhijian Duan
,
Wenhan Huang
,
Dinghuai Zhang
,
Yali Du
,
Jun Wang
,
Yaodong Yang
,
Xiaotie Deng
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Safety Gymnasium: A Unified Safe Reinforcement Learning Benchmark
Artificial intelligence (AI) systems possess significant potential to drive societal progress. However, their deployment often faces …
Jiaming Ji
,
Borong Zhang
,
Jiayi Zhou
,
Xuehai Pan
,
Weidong Huang
,
Ruiyang Sun
,
Yiran Geng
,
Yifan Zhong
,
Juntao Dai
,
Yaodong Yang
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