Boid flock multi-agent RL training environment implemented in JAX
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Updated
May 21, 2024 - Jupyter Notebook
Boid flock multi-agent RL training environment implemented in JAX
RL-Toolkit: A Research Framework for Robotics
Custom Reinforcement Learning Agents
Tensorflow 2 Reinforcement Learning Cookbook, published by Packt
A general-purpose remote environment for training RL agents.
Implementation of Continuous Control RL Algorithms
This repo contains toy solutions for the openAI gym environment implementing Q-networks in Keras and TensorFlow
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.
This project focuses on comparing different Reinforcement Learning Algorithms, including monte-carlo, q-learning, lambda q-learning epsilon-greedy variations, etc.
Train a tic-tac-toe agent with reinforcement learning.
dITC through RL Code Foundation
Train a tic-tac-toe agent using reinforcement learning.
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…
Open Gym Taxi v3 environment solved using sarsamax algorithm(Q-Learning)
deep reinforcement learning for a modified version of the board game Bao la kujifunza
Collect more gift than an AI opponent in this fast-paced Christmas-themed game.
Pytorch Implementation of RL algorithms
Pytorch Implementation of RL algorithms
Mobile Apps (Android) as Environment for Reinforcement Learning Agents
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