Chenjia Bai
28 papers · 2021–2026 · 7 venues · across top CS/AI venues
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Achievements
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Dynamic Duo
(11)
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(3)
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(10)
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Research topics
Machine Learning
(20)
Reinforcement Learning
(18)
Methods
(17)
Learning Types Β· Machine Learning
(16)
Artificial Intelligence
(15)
Core AI
(13)
Deep Learning
(9)
Learning Types Β· Deep Learning
(6)
Robotics
(5)
Application Areas
(4)
Applications
(4)
Models
(4)
Capabilities
(3)
Optimization & Theory
(3)
Healthcare & Medicine
(2)
Keywords
reinforcement learning
(12)
offline reinforcement learning
(4)
upper confidence bound
(4)
diffusion model
(4)
preference optimization
(3)
dynamics mismatch
(3)
language model
(2)
sample efficiency
(2)
radiology report generation
(2)
online learning
(2)
markov decision process
(2)
medical imaging
(2)
uncertainty quantification
(2)
policy transfer
(2)
information bottleneck
(2)
contrastive learning
(2)
sequential decision making
(2)
preference learning
(2)
multi-objective optimization
(2)
domain adaptation
(1)
Papers
Towards Adaptive Humanoid Control via Multi-Behavior Distillation and Reinforced Fine-Tuning
AAAI 2026
Discriminator-Guided Embodied Planning for LLM Agent
ICLR 2025
Exponential Topology-enabled Scalable Communication in Multi-agent Reinforcement Learning
ICLR 2025
Forward KL Regularized Preference Optimization for Aligning Diffusion Policies
AAAI 2025
Online Iterative Self-Alignment for Radiology Report Generation
ACL 2025
Online Preference Alignment for Language Models via Count-based Exploration
ICLR 2025
Radiology Report Generation via Multi-objective Preference Optimization
AAAI 2025
Task-Agnostic Pre-training and Task-Guided Fine-tuning for Versatile Diffusion Planner
ICML 2025
Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration
ACL 2025
VLP: Vision-Language Preference Learning for Embodied Manipulation
EMNLP 2025
Bridging the Sim-to-Real Gap from the Information Bottleneck Perspective
CoRL 2024
Constrained Ensemble Exploration for Unsupervised Skill Discovery
ICML 2024
Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning
ICML 2024
Cross-Domain Policy Adaptation by Capturing Representation Mismatch
ICML 2024
How Does Goal Relabeling Improve Sample Efficiency?
ICML 2024
Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training
NeurIPS 2024
ODRL: A Benchmark for Off-Dynamics Reinforcement Learning
NeurIPS 2024
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments
AAAI 2024
Regularized Conditional Diffusion Model for Multi-Task Preference Alignment
NeurIPS 2024
SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation
ICML 2024
Behavior Contrastive Learning for Unsupervised Skill Discovery
ICML 2023
Cross-Domain Policy Adaptation via Value-Guided Data Filtering
NeurIPS 2023
Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning
NeurIPS 2023
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning
ICML 2022
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning
ICLR 2022
RORL: Robust Offline Reinforcement Learning via Conservative Smoothing
NeurIPS 2022
Dynamic Bottleneck for Robust Self-Supervised Exploration
NeurIPS 2021
Principled Exploration via Optimistic Bootstrapping and Backward Induction
ICML 2021