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@ZJLAB-AMMI

Fundamental & Deep Learning (FDL) Team

Theoretical and Algorithmic Research on Open-world Learning and Decision-Making

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  1. LLM4RL LLM4RL Public

    A RL approach to enable cost-effective, intelligent interactions between a local agent and a remote LLM

    Python 74 14

  2. LLM4Teach LLM4Teach Public

    Python code to implement LLM4Teach, a policy distillation approach for teaching reinforcement learning agents with Large Language Model

    Python 43 14

  3. Restormer-Plus Restormer-Plus Public

    Code to implement Restormer-Plus, the Runner-up Solution to the GT-RAIN Challenge (CVPR 2023 UG2+ Track 3)

    Python 13 3

  4. E2E-Spot-MBS E2E-Spot-MBS Public

    Code to implement the Runner-up Solution to the CVPR'23 SoccerNet Challenge (Ball Action Spotting Task)

    Python 8 3

  5. PSWA PSWA Public

    Python codes to implement the periodic stochastic weight averaging (PSWA) algorithm

    Python 6 1

  6. HS-OMRL HS-OMRL Public

    Python code to implement hard sampling based task representation learning for robust offline meta RL

    Python 3 1

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