8 results found Sort:
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
Created
2018-09-27
98 commits to master branch, last one about a year ago
Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
Created
2022-03-23
163 commits to main branch, last one about a year ago
Proximal Policy Optimization (PPO) algorithm using PyTorch to train an agent for a rocket landing task in a custom environment
Created
2024-11-01
8 commits to master branch, last one 4 months ago
PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.
Created
2020-05-04
89 commits to master branch, last one 3 years ago
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 environm...
Created
2025-02-11
35 commits to master branch, last one 24 hours ago
A Torch Based RL Framework for Rapid Prototyping of Research Papers
Created
2023-04-10
108 commits to master branch, last one 2 months ago
ReinforceUI-Studio. A Python-based application with a graphical user interface designed to simplify the configuration and monitoring of RL training processes. Supporting MuJoCo, OpenAI Gymnasium, and ...
Created
2025-01-18
83 commits to main branch, last one 5 days ago
Implementation of PPO Lagrangian in PyTorch
Created
2021-08-06
17 commits to main branch, last one 2 years ago