Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
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Updated
Nov 13, 2021 - Python
Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
Reinforcement-Learning-for-Decision-Making-in-self-driving-cars
CSE 571 Artificial Intelligence
Tabular methods for reinforcement learning
Implementation and visualization (some demos) of search and optimization algorithms.
Using reinforcement learning to find the shortest paths.
Implementations of basic concepts dealt under the Reinforcement Learning umbrella. This project is collection of assignments in CS747: Foundations of Intelligent and Learning Agents (Autumn 2017) at IIT Bombay
Value & Policy Iteration for the frozenlake environment of OpenAI
♟️ Xiangqi-Engine with Self-Play Policy Iteration and Alpha-Beta-Search
Solutions for the Projects of the Artificial Intelligence (CS 188) course of UC Berkeley
🤖 Implementation and short explanation of basic RL algorithms, reproducing the simulations from Andrej Kaparthy's REINFORCEjs library.
Least-Squares Policy Iteration
Python implementation of common RL algorithms using OpenAI gym environments
Reinforcement Learning algorithms with nothing abstracted away
Policy Iteration for Continuous Dynamics
[Book] :- Andrea Lonza - Reinforcement Learning Algorithms with Python_ Learn, understand, and develop smart algorithms for addressing AI challenges-Packt Publishing (2019)
A reinforcement learning project for crowd-dynamics in a very narrow corridor
This repo contains implementations of algorithms such a Q-learning, SARSA, TD, Policy gradient
Numpy & Keras based re-implementation of basic RL-algorithms: DP, VI, PI, SARSA, Q-Learning, DQN
Scripts for the Dynamic Programming and Optimal Control 2022 course at ETH Zürich.
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