My blogs and code for machine learning. http://cnblogs.com/pinard
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Updated
Feb 16, 2024 - Jupyter Notebook
My blogs and code for machine learning. http://cnblogs.com/pinard
This is the official code for the paper CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning (NeurIPS22).
Reinforcement Learning in Go
GitHub's code repository is all you need
Cheatsheet of Reinforcement Learning (Based on Sutton-Barto Book - 2nd Edition)
Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, Gemma, CLIP, ViT, ConvNeXt, BEiT, Swin Transformer, Segformer, etc. Models built with Note are compatible with TensorFlow and can be trained with TensorFlow.
Dynamic Attention Encoder-Decoder model to learn and design heuristics to solve capacitated vehicle routing problems
Long-Term Planning with Deep Reinforcement Learning on Autonomous Drones
Reinforcement Learning for Optimal inventory policy
Reinforcement Learning material
Serpent's Awesome, but, unfortunately, it's too expensive. Let's see what we can do about that
ReLAx - Reinforcement Learning Applications Library
OpenAI Gym wrapper for the Quanser Qube and Quanser Aero
Official implementation of Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Reweighting
docker image for reinforcement learning including Open AI roboschool
Open AI Gym version of Berkeley AI Pacman with images as states
Learning the topic Machine learning, with sample code.
solving a simple 4*4 Gridworld almost similar to openAI gym frozenlake using Monte-Carlo method Reinforcement Learning
Explore foundational AI concepts through the Pac-Man projects, designed for UC Berkeley's CS 188 course. Implement search algorithms, multi-agent strategies, and reinforcement learning techniques in Python, emphasizing real-world applications. Engage in the Eutopia Pac-Man contest for a multiplayer capture-the-flag challenge
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