A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
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Updated
Jun 28, 2024 - Python
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
AI framework for Reinforcement Learning, Automated Planning and Scheduling
A Universal Platform for Training and Evaluation of Mobile Interaction
Probabilistic Scoring System – a probabilistic & incremental extension to Scoring Systems
Implementations of various decision-making models in Python
🌍💨 Explore the Windy Gridworld! An agent navigates a 10x7 grid facing wind challenges using Q-learning, SARSA, and Expected SARSA to find optimal paths. Visualize learning stability and compare algorithm performance with running averages and zoomed insights. 🚀📊
Explore the Gridworld Simulation 🌍🚀! An agent navigates a 5x5 grid to maximize rewards, using the Value Iteration algorithm 🔄. Visualizations 📊 show optimal paths and value convergence. Dive into dynamic programming and decision-making! 🤖🧠
Explore the 10-Arm Testbed Simulation! 🎲 Utilize Python to test various ε-greedy strategies in a reinforcement learning environment. Visualize and compare agents' performance as they balance exploration and exploitation. Perfect for learners and enthusiasts! 🚀📊
[NeurIPS 2022] 🛒WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents
A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
This repository contains a LLM benchmark for the social deduction game `Resistance Avalon'
Python Client library for Qaekwy Operational Research Solver
Optimal Bayesian Experiment Design
Maze Applied Reinforcement Learning Framework
My implementation of Decision Trees in Python
🧠 Making decisions and accumulating knowledge.
Implementation of the Analytic Hierarchy Process (AHP) decision-making algorithm to provide recommendations for skill areas that align with the preferences of students who will be participating in the Double Track High School Program
A Python3 implementation of the minimax algorithm to create an unbeatable Tic-Tac-Toe player.
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