Massively Parallel Deep Reinforcement Learning. 🔥
深度强化学习路径规划, SAC-Auto路径规划, Soft Actor-Critic算法, SAC-pytorch，激光雷达Lidar避障，激光雷达仿真模拟，Adaptive-SAC
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.
Robot navigation using deep reinforcement learning
SUMO Pytorch Deep Reinforcement Learning Traffic Signal Control
A high-performance quadrotor deep reinforcement learning platform built upon IsaacGym.
This repo implements Deep Q-Network (DQN) for solving the Frozenlake-v1 environment of the Gymnasium library using Python 3.8 and PyTorch 2.0.1 in both 4x4 and 8x8 map sizes.
This repo implements Deep Q-Network (DQN) for solving the Cliff Walking v0 environment of the Gymnasium library using Python 3.8 and PyTorch 2.0.1 with the finest tuning.
This repo contains the Deep Reinforcement Learning algorithm Soft Actor Critic (SAC) implementation in PyTorch
This repo implements Deep Q-Network (DQN) for solving the Mountain Car v0 environment (discrete version) of the Gymnasium library using Python 3.8 and PyTorch 2.0.1 with a custom reward function for faster convergence.
🚦 Traffic Management System 🚏 With Deep Reinforcement Learning 🚗
Hosts my major and mini Deep Reinforcement learning 👨💻and Deep Learning projects 🔝
Performance evaluation of several DRL algorithms in a discrete action-space for resource allocation in Open RAN
Develop and implement reinforcement learning for real-world navigation in DuckieTown, optimizing performance and resilience for reliable autonomous movement, backed by interpretable decision-making tools.
A modular, high-level Python package for Deep Reinforcement Learning, designed to simplify the implementation and study of DRL algorithms, offering an accessible and extensible framework for students, researchers, and developers.
Multi-Agent DRL task analysed as a part of a course project for CS698R-21, IITK
Envpool wrapper for Envs written in Python. This module defines a protocol, allowing to wrap aribitrary environments written in Python to be executed using envpool.
Modular pytorch implementation of PPO including in depth commentary of implementation details!
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