Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
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Updated
May 2, 2023 - Python
Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
Solving OpenAI Gym problems.
Solutions and figures for problems from Reinforcement Learning: An Introduction Sutton&Barto
In this all Projects dealing with reinforcement learning wil be uploaded
A simple baseline for mountain-car @ gym
Implementation of Reinforcement Algorithms from scratch
solution to mountain car problem of OpenAI Gym
👾 My solutions to OpenAI Gym Reinforcement Learning problems.
Reinforcement Learning algorithms SARSA, Q-Learning, DQN, for Classical and MuJoCo Environments and testing them with OpenAI Gym.
This repo implements Deep Q-Network (DQN) for solving the Mountain Car v0 environment (discrete version) of the Gymnasium library using Python 3.8 and PyTorch 2.0.1 with a custom reward function for faster convergence.
Reinforcement learning algorithms to solve OpenAI gym environments
Inverse Reinforcement Learning Algorithm implementation with Python
Implementing reinforcement learning algorithms using TensorFlow and Keras in OpenAI Gym
Deep RL toy example based on gym package with several methods
A car is on a one-dimensional track, positioned between two "mountains". The goal is to drive up the mountain on the right; however, the car's engine is not strong enough to scale the mountain in a single pass. Therefore, the only way to succeed is to drive back and forth to build up momentum.
Comparing VPG, TRPO and PPO from Policy Gradient family
Code for the Genetic Algorithms for Mapping Evolution (GAME), a project done at Johns Hopkins University during Fall 2022.
This repo is for playing with reinforcement learning algorithms. I am either using openai gym or ViZDoom as an environment.
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