RL Agents for various OpenAI Gym environments
-
Updated
Jan 18, 2017 - Python
RL Agents for various OpenAI Gym environments
This repo contains toy solutions for the openAI gym environment implementing Q-networks in Keras and TensorFlow
Open Gym Taxi v3 environment solved using sarsamax algorithm(Q-Learning)
Train a tic-tac-toe agent with reinforcement learning.
First version of social 2-step task with shocks.
Some Reinforcement Learning in Python. Especially how to get the feature for linear function approximation.
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.
A general-purpose remote environment for training RL agents.
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.
This project focuses on comparing different Reinforcement Learning Algorithms, including monte-carlo, q-learning, lambda q-learning epsilon-greedy variations, etc.
Custom Reinforcement Learning Agents
A reinforcement learning agent navigating the OpenAI's FrozenLake environment
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…
dITC through RL Code Foundation
Pytorch Implementation of RL algorithms
Mobile Apps (Android) as Environment for Reinforcement Learning Agents
Implementation of Continuous Control RL Algorithms
Boid flock multi-agent RL training environment implemented in JAX
Pytorch Implementation of RL algorithms
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."