Zzhangquan

Zzhangquan's Stars

• sweetice/Deep-reinforcement-learning-with-pytorch

  PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

  Language:Python3.9k841

• opendilab/DI-engine

  OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

  Language:Python3k364

• locuslab/TCN

  Sequence modeling benchmarks and temporal convolutional networks

  Language:Python4.1k874

• TeaPearce/Deep_Learning_Prediction_Intervals

  ICML paper 'High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach'

  Language:Jupyter Notebook9139

• FilippoAiraldi/mpc-reinforcement-learning

  Reinforcement Learning with Model Predictive Control

  Language:Python22234

• kc-ml2/SimpleDreamer

  A Simplified Pytorch Version of the Dreamer Algorithm

  Language:Python10512

• juliusfrost/dreamer-pytorch

  Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.

  Language:Python27834

• danijar/dreamer

  Dream to Control: Learning Behaviors by Latent Imagination

  Language:Python506109

• ShiArthur03/ShiArthur03

  Language:MATLAB10.4k1.9k

• Canyizl/TPA-for-AVC

  PyTorch implementation of Temporal Prototype-Aware Learning for Active Voltage Control on Power Distribution Networks (SIGKDD 2024)

  Language:Python31

• ml-jku/rudder-demonstration-code

  Code for demonstration example-task in RUDDER blog

  Language:Python2111

• matakshay/DeepRL-for-Delayed-Rewards

  Deep RL for Temporal Credit Assignment in decision processes with delayed rewards

  Language:Jupyter Notebook31

• YyzHarry/imbalanced-regression

  [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

  Language:Python806128

• EddyGao/PSO

  粒子群优化算法

  Language:Python21697

• nikhilbarhate99/PPO-PyTorch

  Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

  Language:Python1.6k341

• xuehy/pytorch-maddpg

  A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)

  Language:Python606122

• TomVeniat/ProgressiveNeuralNetworks.pytorch

  Implementation of [Progressive Neural Networks](https://arxiv.org/abs/1606.04671) using Pytorch Framework

  Language:Python4911

• jindongwang/transferlearning

  Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

  Language:Python13.3k3.8k

• cjdjr/T-MAAC

  Transformer-based Multi-Agent Actor-Critic Framework

  Language:Python376

• zhanjunpeng/SOE

  This is the Matlab code for the Switch Opening and Exchange (SOE) method used in paper "Switch Opening and Exchange Method for Stochastic Distribution Network Reconfiguration" that has been accepted by and will be published in IEEE Transactions on Smart Grid.

  Language:MATLAB2310

• tanhuang2016/elanguage

  E文件解析

  Language:Java1810

• ahalev/python-microgrid

  python-microgrid is a python library to generate and simulate a large number of microgrids.

  Language:Python566

• erwanbou/sf-deep-rl

  Project on Successor Features in Deep Reinforcement Learning and Transfer Learning

  Language:Python255

• AndreaTirinzoni/iw-transfer-rl

  Code for the paper "Importance Weighted Transfer of Samples in Reinforcement Learning" (ICML 2018).

  Language:Python162

• lryz0612/Transfer_DRL_EMS

  Cross-type transfer for deep reinforcement learning based hybrid electric vehicle energy management

  Language:Jupyter Notebook4711

• BIT-XJY/RL-based-Transferable-EMS

  [IV 2022] A Comparative Study of Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric Vehicles.

  Language:Python7812

• abhranilchandra/Transfer-Learning-in-RL

  Transfer Learning in RL to improve sample efficiency

  Language:Jupyter Notebook5

• Khrylx/PyTorch-RL

  PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

  Language:Python1.1k186

• chennnnnyize/Renewables_Scenario_Gen_GAN

  The implementation of scenario generation for renewables production process

  206

• Ouyang-maxzx/two-stage-MG

  复现**电机工程学报《微电网两阶段鲁棒优化经济调度方法》

  327