KonoeSubaru

KonoeSubaru's Stars

• PKU-MARL/HARL

  Official implementation of HARL algorithms based on PyTorch.

  Language:Python48157

• LiSir-HIT/Reinforcement-Learning

  kinds of reinforcement learning model by Pytorch

  Language:Python25461

• intelligent-environments-lab/CityLearn

  Official reinforcement learning environment for demand response and load shaping

  Language:Python470171

• HansenHua/MFPO-INFOCOM24

  An online federated reinforcement learning algorithm published in INFOCOM2024

  Language:Python121

• DesikRengarajan/FEDORA

  [NeurIPS 2024] Code for Federated Ensemble-Directed Offline Reinforcement Learning

  Language:Python203

• qiongwu86/Edge-Caching-Based-on-Multi-Agent-Deep-Reinforcement-Learning-and-Federated-Learning

  Language:Python467

• microsoft/HuRL

  Code repository accompanying the Heuristic Guided RL NeurIPS'21 paper

  Language:Python123

• Alirezad126/PD-DDPGfD

  Code for Primal-Dual Deep Deterministic Policy Gradient From Demonstrations

  Language:PostScript41

• akjayant/PPO_Lagrangian_PyTorch

  Implementation of PPO Lagrangian in PyTorch

  Language:Python3410

• openai/safety-starter-agents

  Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.

  Language:Python391113

• chauncygu/Multi-Agent-Constrained-Policy-Optimisation

  Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).

  Language:Python14324

• tayalmanan28/Safe_Reinforcement_Learning

  Repository containing the code for the paper "Safe Model-Based Reinforcement Learning using Robust Control Barrier Functions". Specifically, an implementation of SAC + Robust Control Barrier Functions (RCBFs) for safe reinforcement learning in two custom environments

  Language:Python346

• ammarhydr/SAC-Lagrangian

  PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm

  Language:Python307

• PKU-Alignment/omnisafe

  JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.

  Language:Python920132

• PKU-Alignment/safety-gymnasium

  NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark

  Language:Python38453

• snu-mllab/DPPO

  Official implementation of "Direct Preference-based Policy Optimization without Reward Modeling" (NeurIPS 2023)

  Language:Python371

• david-lindner/idrl

  Code accompanying the paper "Information Directed Reward Learning for Reinforcement Learning" (NeurIPS 2021).

  Language:Python132

• PKU-Alignment/Safe-Policy-Optimization

  NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms

  Language:Python32245

• LucasCJYSDL/HierAIRL

  A novel Hierarchical Imitation Learning algorithm based on AIRL.

  Language:Python181

• FederatedAI/FATE

  An Industrial Grade Federated Learning Framework

  Language:Python5.7k1.6k

• Jordan-Haidee/FedDDPG

  Language:Python1

• wangyu92/cartpole-ppo-federated-learning

  Language:Python3

• tensorlayer/TensorLayer

  Deep Learning and Reinforcement Learning Library for Scientists and Engineers

  Language:Python7.3k1.6k

• yumath/bertNER

  ChineseNER based on BERT, with BiLSTM+CRF layer

  Language:Python43797