Yet another deep reinforcement learning
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Updated
Jan 27, 2021 - Python
Yet another deep reinforcement learning
Deep Reinforcement Learning with Custom Environment
Exercises and projects from Udacity's Nanodegree
Reinforcement learning algorithms implemented to learn to play Super Mario Bros.
Generative Adversial Imitation Learning (GAIL) an inverse reinforcement learning algorithm
This is a Deep Reinforcement Learning solution for the Lunar Lander problem in OpenAI Gym using dueling network architecture and the double DQN algorithm.
Reinforcement learning algorithms and solved gym environments.
Basic code for reinforcement learning and small programs.
Snake Game solved using Dueling DQN and Dueling Double DQN
Lunar Lander envitoment of gymnasium solved using Double DQN and D3QN
Develop an AI player of Atari Skiing with deep reinforcement learning
Reinforcement learning algorithms in poker games
This project uses Deep Reinforcement Learning to solve the Lunar Lander environment of the OpenAI-Gym
Deep Q-Learning algorithms to solve LunarLander-v2.
Various Deep RL models applied to Super Mario Bros
Reinforcement learning agent that solves a 2x2 Rubik's cube
A Torch Based RL Framework for Rapid Prototyping of Research Papers
My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.
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