RL Agents for various OpenAI Gym environments
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Updated
Jan 18, 2017 - Python
RL Agents for various OpenAI Gym environments
Some Reinforcement Learning in Python. Especially how to get the feature for linear function approximation.
First version of social 2-step task with shocks.
A reinforcement learning agent navigating the OpenAI's FrozenLake environment
Mobile Apps (Android) as Environment for Reinforcement Learning Agents
Pytorch Implementation of RL algorithms
Pytorch Implementation of RL algorithms
Collect more gift than an AI opponent in this fast-paced Christmas-themed game.
deep reinforcement learning for a modified version of the board game Bao la kujifunza
Open Gym Taxi v3 environment solved using sarsamax algorithm(Q-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…
Train a tic-tac-toe agent using reinforcement learning.
dITC through RL Code Foundation
Train a tic-tac-toe agent with reinforcement learning.
This project focuses on comparing different Reinforcement Learning Algorithms, including monte-carlo, q-learning, lambda q-learning epsilon-greedy variations, etc.
NLPGym - A toolkit to develop RL agents to solve NLP tasks.
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
This repo contains toy solutions for the openAI gym environment implementing Q-networks in Keras and TensorFlow
Implementation of Continuous Control RL Algorithms
A general-purpose remote environment for training RL agents.
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