A Torch Based RL Framework for Rapid Prototyping of Research Papers
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Updated
Sep 6, 2024 - Python
A Torch Based RL Framework for Rapid Prototyping of Research Papers
Massively Parallel Deep Reinforcement Learning. 🔥
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
My first reinforcement learning model, designed to navigate through randomly positioned obstacles to reach a target.
An elegant PyTorch deep reinforcement learning library.
Deep Reinforcement Learning based Decision-Making in Autonomous Driving Tasks
Python library for Reinforcement Learning.
This project applies various RL algorithms to two environments: Cartpole and Humanoid.
Explorer is a PyTorch reinforcement learning framework for exploring new ideas.
This project is an implementation of the research paper called "Playing Atari with Deep Reinforcement Learning" by Mnih et al. 2013.
A Japanese (Riichi) Mahjong AI Framework
Deep Reinforcement Learning in C#
Repository that houses the program used to investigate the control of subsystems in homes based on a DRL model. The program uses the EnergyPlus Python API and Ray's Tune and RLlib libraries.
AI projects and some algorithms. If you are seeing this please take care of the path in the code
testing MLP, DQN, PPO, SAC, policy-gradient by snakeAI
A lightweight RL environment for query optimization.
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
DQN agent with e-greedy / softmax policy, experience replay and target network.
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