rl-agents
There are 25 repositories under rl-agents topic.
sichkar-valentyn/Reinforcement_Learning_in_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
rajcscw/nlp-gym
NLPGym - A toolkit to develop RL agents to solve NLP tasks.
PacktPublishing/Tensorflow-2-Reinforcement-Learning-Cookbook
Tensorflow 2 Reinforcement Learning Cookbook, published by Packt
rfeinman/tictactoe-reinforcement-learning
Train a tic-tac-toe agent using reinforcement learning.
markub3327/rl-toolkit
RL-Toolkit: A Research Framework for Robotics
khushhallchandra/pytorch-rl
Pytorch Implementation of RL algorithms
zombie-einstein/flock_env
Boid flock multi-agent RL training environment implemented in JAX
sungsulim/RLControl
Implementation of Continuous Control RL Algorithms
appgym/appgym
Mobile Apps (Android) as Environment for Reinforcement Learning Agents
pulkitkatdare/pytorch-rl
Pytorch Implementation of RL algorithms
Sahmwell/G15_Capstone
dITC through RL Code Foundation
jignesh284/Automatic-Level-Generation-for-RobustReinforcement-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 generalized policy of playing the game. Our hypothesis is that training the agent with the additional levels will lead to an optimal policy that performs better than the policy learned from the few pre-existing levels. Our final objective is to learn such a generative model, train an RL agent with the generated levels and test its performance on a set of unseen game levels.
kochlisGit/Reinforcement-Learning-Algorithms
This project focuses on comparing different Reinforcement Learning Algorithms, including monte-carlo, q-learning, lambda q-learning epsilon-greedy variations, etc.
maik97/wacky-rl
Custom Reinforcement Learning Agents
victor-iyi/navigating-a-virtual-world-using-dynamic-programming
A reinforcement learning agent navigating the OpenAI's FrozenLake environment
canoksuzoglu1/RL-PCO-Atlantis-Atari
This project trains and evaluates a Proximal Policy Optimization (PPO) agent to play the Atari game Atlantis using Stable Baselines3. The agent is trained with a Convolutional Neural Network (CNN) policy and evaluated for its performance in the game. It includes scripts for training, evaluating, and real-time gameplay rendering.
ostamand/rolling-balls
Collect more gift than an AI opponent in this fast-paced Christmas-themed game.
WillieCubed/gym-server
A general-purpose remote environment for training RL agents.
0Zeta/Bao-RL
deep reinforcement learning for a modified version of the board game Bao la kujifunza
stephyc/shock_task_v1
First version of social 2-step task with shocks.
chebroluharika/Tic-Tac-Toe
Train a tic-tac-toe agent with reinforcement learning.
hzm2016/Linear_feature_algorithms
Some Reinforcement Learning in Python. Especially how to get the feature for linear function approximation.
josemarcosrf/Keras-RL-exploratory
This repo contains toy solutions for the openAI gym environment implementing Q-networks in Keras and TensorFlow
sksq96/rl-agents
RL Agents for various OpenAI Gym environments
tarunk04/OpenGym-Taxi-v3
Open Gym Taxi v3 environment solved using sarsamax algorithm(Q-Learning)