ppo-pytorch 开源项目推荐（128 个）

nikhilbarhate99 /PPO-PyTorch

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

Lizhi-sjtu /DRL-code-pytorch

DRL算法的简洁pytorch实现，包括REINFORCE、A2C、DQN、PPO（离散和连续）、DDPG、TD 3、SAC。

reiniscimurs /DRL-robot-navigation-IR-SIM

Deep Reinforcement Learning for mobile robot navigation in IR-SIM simulation. Using DRL (SAC, TD3, PPO, DDPG) neural networks, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.

zhaohaojie1998 /Control-Algorithm

控制算法，状态、输出反馈控制。ADRC自抗扰控制，抗积分饱和PID控制，增量式PID控制，模糊FuzzyPID控制，线性二次型调节器LQR控制，线性二次型积分器LQI控制，迭代iLQR控制，模型预测MPC控制，AI智能控制，启发算法控制，强化学习SAC、PPO控制，无人机、机器人、小车轨迹跟踪控制

taherfattahi /ppo-rocket-landing

Proximal Policy Optimization (PPO) algorithm using PyTorch to train an agent for a rocket landing task in a custom environment

CherryPieSexy /imitation_learning

PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.

dvalenciar /ReinforceUI-Studio

ReinforceUI-Studio. A Python-based application designed to simplify the configuration and monitoring of RL training processes. Supporting MuJoCo, OpenAI Gymnasium, and DeepMind Control Suite. Algorithms included: CTD4, DDPG, DQN, PPO, SAC, TD3, TQC

philtabor /ProtoRL

A Torch Based RL Framework for Rapid Prototyping of Research Papers

akjayant /PPO_Lagrangian_PyTorch

Implementation of PPO Lagrangian in PyTorch

telekinesis-ai /telekinesis-rlbotics

Lightweight, GPU-accelerated reinforcement learning for Isaac Lab, mjlab, and Gymnasium.

paulchen2713 /RIS-MISO-HWI-DRL

A PyTorch implementation of the IEEE WCNC 2025 paper "Worst-Case MSE Minimization for RIS-Assisted mmWave MU-MISO Systems With Hardware Impairments and Imperfect CSI"

aparame /RL_UR5_IsaacLab

Vision based RL agent to control a UR5 arm in Human-Robot collaborative environments

Solrikk /CriptoWhisper

TradeWhisperer is a sophisticated cryptocurrency trading bot that leverages advanced Reinforcement Learning techniques, specifically the Proximal Policy Optimization (PPO) algorithm, to navigate the complex world of crypto markets. Built with a focus on adaptability and risk management, this bot combines technical analysis with machine learning.

faildeny /Multi_Agent_PPO

Multi agent PPO implementation in Pytorch for Unity ML Agents environments.

LittleWebCat /DRL-Base-EMS

DRL-Base-EMS for HEVs

jatinarora2702 /gail-pytorch

PyTorch implementation of GAIL and PPO reinforcement learning algorithms

CAI23sbP /Hybrid-Action-PPO

Hybrid Action PPO in stable-baselines3

mturan33 /isaac-g1-ulc

Low Level RL Controller for G1

rvdweerd /simmodel

Solving pursuit-evasion problems on graphs using Reinfocement Learning and GNNs

davide97l /PPO-GAIL-cartpole

GAIL learning to imitate PPO playing CartPole.