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
Using reinforcement learning to find the shortest paths.
Implementation and visualization (some demos) of search and optimization algorithms.
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
♟️ A combination of Reinforcement Learning and Alpha-Beta Search in Chinese chess
🤖 Implementation and short explanation of basic RL algorithms, reproducing the simulations from Andrej Kaparthy's REINFORCEjs library.
Python implementation of common RL algorithms using OpenAI gym environments
Reinforcement Learning algorithms with nothing abstracted away
Least-Squares Policy Iteration
A reinforcement learning project for crowd-dynamics in a very narrow corridor
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.
Implementation and experiments of reinforcement learning algorithms in CS885 @ UW
Using Value Iteration and Policy Iteration to discover the optimal solution for the strategic dice game PIG. Ultimately interested in whether the optimal solution can be reached through self-play alone.
This repo contains implementations of algorithms such a Q-learning, SARSA, TD, Policy gradient
Reinforcement Learning Notebooks
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