Yyummyu

Yyummyu's Stars

• opendilab/DI-engine

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

  Language:Python3k366

• DLR-RM/stable-baselines3

  PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

  Language:Python8.8k1.7k

• BangYou01/HDDPG-HER-RND

  Hierachichal DDPG + Hindsight Experience Replay + Random Network Distillation

  Language:Python85

• YangRui2015/Modular_HER

  Modular-HER is revised from OpenAI baselines and supports many improvements for Hindsight Experience Replay as modules.

  Language:Python152

• Baichenjia/GHER

  G-HER algorithm

  Language:Python183

• TianhongDai/div-hindsight

  This is the official code of our paper "Diversity-based Trajectory and Goal Selection with Hindsight Experience Relay" [PRICAI 2021].

  Language:Python102

• YangRui2015/Sparse-Reward-Algorithms

  Implement many Sparse Reward algorithms in Gym Fetch environment

  Language:Python8020

• TianhongDai/hindsight-experience-replay

  This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

  Language:Python39275

• kaixindelele/DRLib

  DRLib：a Concise Deep Reinforcement Learning Library, Integrating HER, PER and D2SR for Almost Off-Policy RL Algorithms.

  Language:Python51170

• vitchyr/multiworld

  Multitask Environments for RL

  Language:Python27365

• openai/baselines

  OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

  Language:Python15.7k4.9k

• ruizhaogit/mep

  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)

  Language:Python226

• Baichenjia/BHER

  Code for "Addressing Hindsight Bias in Multi-Goal Reinforcement Learning"

  Language:Python7

• mengf1/DHER

  DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)

  Language:Python657

• paulorauber/hpg

  Hindsight policy gradients

  Language:Python427

• filipolszewski/prioritized-her

  Prioritized Hindsight Experience Replay DDPG agent for openAI robotic gym tasks written in PyTorch

  Language:Python61

• ruizhaogit/EnergyBasedPrioritization

  Energy-Based Hindsight Experience Prioritization (CoRL 2018) Oral presentation (7%)

  Language:Python329

• mengf1/CHER

  Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)

  Language:Python5910

• onewarmheart/IntelligentControl

  Intelligent control algorithm and simulation environment.

  Language:Python172

• PierreExeter/BDQ_for_reacher

  Action branching agent - simplified code from https://github.com/atavakol/action-branching-agents

  Language:Python1

• jfrucht25/BDQ

  Developed from Action Branching Agents

  Language:Python1

• wangshusen/DRL

  Deep Reinforcement Learning

  3.2k576

• BY571/Soft-Actor-Critic-and-Extensions

  PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.

  Language:Python26532

• Rafael1s/Deep-Reinforcement-Learning-Algorithms

  32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

  Language:Jupyter Notebook671180

• zhangchuheng123/Reinforcement-Implementation

  Implementation of benchmark RL algorithms

  Language:Python45881

• thu-ml/tianshou

  An elegant PyTorch deep reinforcement learning library.

  Language:Python7.8k1.1k

• RITCHIEHuang/DeepRL_Algorithms

  DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

  Language:Python31941

• datawhalechina/easy-rl

  强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

  Language:Jupyter Notebook9.2k1.8k

• shariqiqbal2810/MAAC

  Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019

  Language:Python666172

• h-aboutalebi/SparseBaseline

  Language:Python23