Multi-Shot Approximation of Discounted Cost MDPs
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Updated
Jun 4, 2024 - Python
Multi-Shot Approximation of Discounted Cost MDPs
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
Data pre-processing with modular components for: normalizer/standarizer, unbiaser, trimmer and feature selector.
⛰ Reinforcement learning model trying to make car reach to top of mountain
Tinkering on neural networks for battery modeling and agent-based operating adventures
autoupdate paper list
Reinforcement Learning + Imitation Learning based approach to AI Driving Olympics
A Fast, Portable Deep Reinforcement Learning Library for Continuous Control
MLPro - The Integrative Middleware Framework for Standardized Machine Learning in Python
This repository is a development environment for my thesis which is "Reinforcement learning based automated parking systems".
Jupyter notebook for reinforcement learning algorithm comparison
Lua-Based Machine, Deep And Reinforcement Learning Library (For Roblox And Pure Lua). Contains 34 Models!
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
Papers, codes, datasets, applications, tutorials.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
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, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.
A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, reinforcement learning, optimization, evolutionary methods, and causal inference.
Artificial Intelligence > Machine Learning > Deep Learning
Robot navigation with Q learning
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
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