sudharsan13296/Deep-Reinforcement-Learning-With-Python
quality grade D, 37 out of 100Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
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RL algorithms, environments, simulators and decision-making systems.
Signals: reinforcement-learning, deep-reinforcement-learning, rl, gymnasium, openai-gym, multi-agent-reinforcement-learning, imitation-learning
653 results
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
kinds of reinforcement learning model by Pytorch
This code is written for the blogs
[Coursera] Reinforcement Learning Specialization by "University of Alberta" & "Alberta Machine Intelligence Institute"
書籍「つくりながら学ぶ!深層強化学習」のサポートリポジトリです
Julia code for the book Reinforcement Learning An Introduction
Using reinforcement learning to teach a car to avoid obstacles.
Reinforcement learning tutorials
Reinforcement Learning examples implementation and explanation
[파이썬과 케라스로 배우는 강화학습] 예제
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Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
Implementation of the supervised learning experiments in Vector-based navigation using grid-like representations in artificial agents, as published at https://www.nature.com/articles/s41586-018-0102-6
A set of high-dimensional continuous control environments for use with Unity ML-Agents Toolkit.
This is a simple implementation of DeepMind's PySC2 RL agents.
ALMA (Automated meta-Learning of Memory designs for Agentic systems) is a framework that meta-learns memory designs to replace human-engineered designs for agentic system.
A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.
Easily train AlphaZero-like agents on any environment you want!
MineStudio: A Streamlined Package for Minecraft AI Agent Development
Agent Learning Framework https://alf.readthedocs.io
World model reasoning RL for multi-turn VLM agents
Uni-Agent is a framework for training long-horizon agents.
Scalable Agentic RL for Any Agent and Sandbox.
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