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Lyu Jiafei

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@dmksjfl

Hi, I am Jiafei Lyu. I am currently a Ph.D. candidate in Tsinghua University. I have a broad interest in different fields of reinforcement learning (RL).

dmksjfl.github.io/

Job_Shop_Scheduling_Problem_with_Reinforcement_Learning. This is the implemention of JSSP with RL. The framework used for RL is actor critic and the dataset comes from Tianchi competition.

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MCQ. Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)

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DARC. Code for Efficient Continuous Control with Double Actors and Regularized Critics, AAAI 2022.

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PAR. Official code for Cross-Domain Policy Adaptation by Capturing Representation Mismatch (ICML 2024)

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OTDF. Official code for our ICLR 2025 paper Cross-Domain Offline Policy Adaptation with Optimal Transport and Dataset Constraint

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SEABO. Official code for ICLR 2024 paper, SEABO: A Simple Search-Based Method for Offline Imitation Learning

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DR.Q. DR.Q is a debiased model-based representation reinforcement learning algorithm

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CABI. code for Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination (NeurIPS 2022)

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GD3. This is the repository of Generalized-activated Deep Deouble Deterministic Policy Gradients (GD3).

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SACMPC. SAC+TDMPC

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SAW. Code for State Advantage Weighting for Offline RL

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THU-Homework-LaTex-Template. This is a LaTex template for THU homework which is suitable for math/physics/statistics/computer science and other related majors. This template is simple and may not meet all of your needs where you should improve it yourself.

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SMR. Official code for our paper Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse

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CIR. The official code for Temporal Difference Learning with Constrained Initial Representations

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