XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
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Updated
Oct 1, 2024 - Python
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
Lunar Lander envitoment of gymnasium solved using DQN and D3QN
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
Using an DQN agent trained on Tic-Tac-Toe and Connect Four as a base for an dynamically balanced opponent. (Student Project)
Do you have too much time available in your life? Do you feel the need to play a childhood retro game? Here it is. :)
Solving games with reinforcement learning
CartPole problem solved using two Reinforcement learning algorithms (DQN and SARSA) with two policies (epsilon-greedy and Boltzmann), with results.
My first reinforcement learning model, designed to navigate through randomly positioned obstacles to reach a target.
Car racing RL agents in actual F1 tracks
Deep Reinforcement Learning in C#
A Complete Collection of Deep RL Famous Algorithms implemented in Gymnasium most Popular environments
Massively Parallel Deep Reinforcement Learning. 🔥
A Torch Based RL Framework for Rapid Prototyping of Research Papers
AI algorithms developed during University
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.
RL4CAD: Personalized Decision Making for Coronary Artery Disease Treatment using Offline Reinforcement Learning
testing MLP, DQN, PPO, SAC, policy-gradient by snakeAI
A reinforcement learning object detector leveraging saliency ranking, offering a self-explainable system with a fully observable action log. | B.Sc. IT (Hons) Artificial Intelligence Dissertation | UOM Dean's List Awards 2024
Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.
Deep Learning Spring 2023 @ NYCU
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