Solutions to OpenAI-Gym environments.
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Updated
May 2, 2017 - Python
Solutions to OpenAI-Gym environments.
Neural Network that plays games from OpenAI's gym
A Reinforcement Learning demo using the OpenAI's gym environment.
BitFlipper environment in OpenAI gym format
Reinforcement learning notebooks
💥💥 This is a easy installable extension for OpenAi Gym Environment. This simulates SpaceX Falcon landing.
This repository provides a simulation of 4-Room-World environment.
There are four designated locations in the grid world indicated by R(ed), B(lue), G(reen), and Y(ellow). When the episode starts, the taxi starts off at a random square and the passenger is at a random location. The taxi drive to the passenger's location, pick up the passenger, drive to the passenger's destination (another one of the four specif…
slither game
Training a vision-based agent with the Deep Q Learning Network (DQN) in Atari's Breakout environment, implementation in Tensorflow.
Solving several OpenAI Gym and custom gazebo environments using reinforcement learning techniques.
A Taxi driver agent that learns using Q learning and Sarsa
A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow
Clear explanations and simple implementations of Deep reinforcement learning Algorithms
Contenedor con GYM y ejecutar los juegos.
OpenAI Gym for basketball game
Policy Gradient Actor-Critic PyTorch | Lunar Lander v2
Experimental codes and notebooks coded while learning RL.
This is the example to create the gif from the gym openai
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