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
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Updated
Jun 4, 2024 - Python
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
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.
Massively Parallel Deep Reinforcement Learning. 🔥
This repo implements the REINFORCE algorithm for solving the Cart Pole V1 environment of the Gymnasium library using Python 3.8 and PyTorch 2.0.1.
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 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.
Modular pytorch implementation of PPO including in depth commentary of implementation details!
Robot navigation using deep reinforcement learning
🚦 Traffic Management System 🚏 With Deep Reinforcement Learning 🚗
SUMO Pytorch Deep Reinforcement Learning Traffic Signal Control
This repo contains the Deep Reinforcement Learning algorithm Soft Actor Critic (SAC) implementation in PyTorch
Multi-Agent DRL task analysed as a part of a course project for CS698R-21, IITK
Hosts my major and mini Deep Reinforcement learning 👨💻and Deep Learning projects 🔝
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