Deep Reinforcement Learning with Custom Environment
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Updated
Aug 17, 2023 - Python
Deep Reinforcement Learning with Custom Environment
Basic code for reinforcement learning and small programs.
Snake Game solved using Dueling DQN and Dueling Double DQN
Yet another deep reinforcement learning
This is a Deep Reinforcement Learning solution for the Lunar Lander problem in OpenAI Gym using dueling network architecture and the double DQN algorithm.
Deep Q-Learning algorithms to solve LunarLander-v2.
Reinforcement learning agent that solves a 2x2 Rubik's cube
Develop an AI player of Atari Skiing with deep reinforcement learning
Reinforcement learning algorithms in poker games
Various Deep RL models applied to Super Mario Bros
Exercises and projects from Udacity's Nanodegree
Reinforcement learning algorithms and solved gym environments.
This project uses Deep Reinforcement Learning to solve the Lunar Lander environment of the OpenAI-Gym
Generative Adversial Imitation Learning (GAIL) an inverse reinforcement learning algorithm
Lunar Lander envitoment of gymnasium solved using Double DQN and D3QN
Reinforcement learning algorithms implemented to learn to play Super Mario Bros.
My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.
A Torch Based RL Framework for Rapid Prototyping of Research Papers
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