Reinforcement Learning agent for 2048 game
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Updated
Aug 8, 2017 - C++
Reinforcement Learning agent for 2048 game
Q-Learing algorithm solves simple mazes.
This project used the openai gym environment to train a neural network for playing openai games
Implementation of multiple RL algorithms in pytorch (DQN, AC, ACER) and trained agents to play digital games
Using Reinforcement learning to solve a basic matrix game where a person needs to go from one end of the matrix to the other end of the matrix while avoiding obstacles.
Comparison of bandit algorithms from the Reinforcement Learning bible.
An environment for tabular Reinforcement Learning agents.
Deep reinforcement learning agent
💡 Classical AI algorithms, and a bit of Reinforcement Learning >:)
Tic-tac-toe game exploring basic reinforcement learning
💥💥 This is a easy installable extension for OpenAi Gym Environment. This simulates SpaceX Falcon landing.
A compilation of reinforcement learning algorithms.
Design and training of an RL agent to control a Quadcopter using Actor-Critic RL method
Deep Q-Network (DQN) for CartPole game from OpenAI gym
Sonic game by reinforcement learning
Making the bipedal robot from OpenAI's gym Box2D environment walk
Reimplementation of the paper "Instance-Based State Identification for Reinforcement Learning "
Learning to play tennis from scratch with AlphaGo Zero style self-play using DDPG
Robotic Navigation of a quadpod using reinforcement learning
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