A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow

Master Thesis: Limit order placement with Reinforcement Learning

💥💥 This is a easy installable extension for OpenAi Gym Environment. This simulates SpaceX Falcon landing.

Training a vision-based agent with the Deep Q Learning Network (DQN) in Atari's Breakout environment, implementation in Tensorflow.

Distributed RL implementations

A collection of Reinforcement Learning algorithms.

A TensorFlow distributed implementation of DeepMind's PathNet architecture for RL training with OpenAI Gym agents. Modified from jaesik817's implementation.

Gym is a toolkit for developing and comparing reinforcement learning algorithms.

Implementation of Deep Q Learning algorithms in pytorch

teaching an agent to play the Lunar Lander game from OpenAI Gym with REINFORCE algorithm

💥💥 This is a easy installable extension for OpenAi Gym Environment. This simulates SpaceX Falcon landing.

Basic Q learning algorithm to solve reaching task on 2D robot arm environment