Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa
-
Updated
Apr 25, 2022 - Python
Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa
NLPGym - A toolkit to develop RL agents to solve NLP tasks.
Tensorflow 2 Reinforcement Learning Cookbook, published by Packt
Train a tic-tac-toe agent using reinforcement learning.
RL-Toolkit: A Research Framework for Robotics
Pytorch Implementation of RL algorithms
Boid flock multi-agent RL training environment implemented in JAX
Mobile Apps (Android) as Environment for Reinforcement Learning Agents
Implementation of Continuous Control RL Algorithms
Pytorch Implementation of RL algorithms
dITC through RL Code Foundation
Custom Reinforcement Learning Agents
This project focuses on comparing different Reinforcement Learning Algorithms, including monte-carlo, q-learning, lambda q-learning epsilon-greedy variations, etc.
A reinforcement learning agent navigating the OpenAI's FrozenLake environment
Collect more gift than an AI opponent in this fast-paced Christmas-themed game.
A general-purpose remote environment for training RL agents.
deep reinforcement learning for a modified version of the board game Bao la kujifunza
Our project focuses on the problem of generating synthetic levels of a game such that the levels can be used to learn an optimal policy for playing the game. Given a few pre-existing game levels we want to use deep generative models (like GANs) to generate new additional game levels. We will then train an RL agent on these levels to learn a gene…
First version of social 2-step task with shocks.
Some Reinforcement Learning in Python. Especially how to get the feature for linear function approximation.
Add a description, image, and links to the rl-agents topic page so that developers can more easily learn about it.
To associate your repository with the rl-agents topic, visit your repo's landing page and select "manage topics."