policy gradient for pong
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Updated
Feb 12, 2018 - Python
policy gradient for pong
Used DQN (Deep Q Network) in order to build the gaming bot
Creating custom Gym Environments primarily for Optimal Control
A collection of IPython notebooks explaining basics of reinforcement learning together with implementation of selected algorithms.
TensorFlow implementations of different reinforcement learning algorithms.
Özyeğin University - B.Sc. Thesis in Computer Science - Autonomous Driving with TurtleBot using Deep Reinforcement Learning.
A set of scripts that help me learning recent Deep Reinforcement Learning algorithms with Q-learning
Master's thesis about Reinforcement Learning (RL), Deep RL and Optimization for Product Delivery
💥💥 This is a easy installable extension for OpenAi Gym Environment. This simulates SpaceX Falcon landing.
solution to mountain car problem of OpenAI Gym
A gym environment for Stuart Armstrong's model of a treacherous turn.
Wrapper around dm_control to provide a gym like interface and vice-versa
Train an agent to play flappy bird game using double DQN model and implement it with pytorch.
Proximal Policy Optimization in PyTorch
Making the bipedal robot from OpenAI's gym Box2D environment walk
This repository is the implementation of the paper "Beating Atari with Natural Language Guided Reinforcement Learning"
Implementation of reinforcement learning algorithms. Concise solutions of gym games.
Seoul AI Gym is a toolkit for developing AI algorithms.
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