Chenjia Bai

About Chenjia Bai

Chenjia Bai, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at Harbin Institute of Technology, specializes in the field of Reinforcement Learning, Robotics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Diverse Randomized Value Functions: A Provably Pessimistic Approach for Offline Reinforcement Learning

Regularized Conditional Diffusion Model for Multi-Task Preference Alignment

Large-Scale Actionless Video Pre-Training via Discrete Diffusion for Efficient Policy Learning

Skill Matters: Dynamic Skill Learning for Multi-Agent Cooperative Reinforcement Learning

OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments

Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement Learning

Robust Quadrupedal Locomotion via Risk-Averse Policy Learning

Provably Efficient Information-Directed Sampling Algorithms for Multi-Agent Reinforcement Learning

Chenjia Bai Information

University

Position

(Ph.D. student)

Citations(all)

436

Citations(since 2020)

435

Cited By

20

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

11

i10Index(since 2020)

11

Email

University Profile Page

Google Scholar

Chenjia Bai Skills & Research Interests

Reinforcement Learning

Robotics

Top articles of Chenjia Bai

Diverse Randomized Value Functions: A Provably Pessimistic Approach for Offline Reinforcement Learning

arXiv preprint arXiv:2404.06188

2024/4/9

Regularized Conditional Diffusion Model for Multi-Task Preference Alignment

arXiv preprint arXiv:2404.04920

2024/4/7

Large-Scale Actionless Video Pre-Training via Discrete Diffusion for Efficient Policy Learning

arXiv preprint arXiv:2402.14407

2024/2/22

Skill Matters: Dynamic Skill Learning for Multi-Agent Cooperative Reinforcement Learning

Available at SSRN 4790564

2024

OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement Learning

Artificial Intelligence

2024/1/1

Robust Quadrupedal Locomotion via Risk-Averse Policy Learning

arXiv preprint arXiv:2308.09405

2023/8/18

Provably Efficient Information-Directed Sampling Algorithms for Multi-Agent Reinforcement Learning

arXiv preprint arXiv:2404.19292

2024/4/30

False Correlation Reduction for Offline Reinforcement Learning

IEEE Transactions on Pattern Analysis and Machine Intelligence

2023/10/30

Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty and Smoothness

arXiv preprint arXiv:2309.16973

2023/9/29

Self-Supervised Imitation for Offline Reinforcement Learning With Hindsight Relabeling

IEEE Transactions on Systems, Man, and Cybernetics: Systems

2023/8/17

Privileged Knowledge Distillation for Sim-to-Real Policy Generalization

arXiv preprint arXiv:2305.18464

2023/5/29

On the Value of Myopic Behavior in Policy Reuse

arXiv preprint arXiv:2305.17623

2023/5/28

Exploration in Deep Reinforcement Learning: From Single-Agent to Multi-Agent Domain

IEEE Transactions on Neural Networks and Learning Systems

2023/1/19

Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning

Advances in neural information processing systems

2024/2/13

Cross-Domain Policy Adaptation via Value-Guided Data Filtering

Advances in Neural Information Processing Systems

2024/2/13

Behavior Contrastive Learning for Unsupervised Skill Discovery

International Conference on Machine Learning

2023/5/8

Monotonic Quantile Network for Worst-Case Offline Reinforcement Learning

IEEE Transactions on Neural Networks and Learning Systems

2022/11/4

Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning

2022

RORL: Robust Offline Reinforcement Learning via Conservative Smoothing

Advances in Neural Information Processing Systems (NeurIPS) 2022

2022/6/6

See List of Professors in Chenjia Bai University(Harbin Institute of Technology)

Co-Authors

academic-engine