A customised Open-AI gym environment which simulate the puzzle video game Threes
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Updated
Sep 30, 2021 - Python
A customised Open-AI gym environment which simulate the puzzle video game Threes
A custom OpenAI Gym environment based on custom-built Kuiper Escape PyGame.
Basic Implementation of Reinforcement Learning Systems on Open-AI Gym.
Implementation of SARSA Semi-Gradient Method on the Mountain Car Open AI Environment.
Implementation of REINFORCE for open ai env acrobot, epsilon greedy Q-Learning for open ai env taxi & TD(0) for custom gameshow env KBC.
Reinforcement leraning save and load tutorial with open ai gym envirement cart pole
Inducing hierarchy via models and trajectories
Deep reinforcement learning solution for some open AI gym environments.
An implementation from the state-of-the-art family of reinforcement learning algorithms Proximal Policy Optimization using normalized Generalized Advantage Estimation and optional batch mode training. The loss function incorporates an entropy bonus.
Agents for reinforcement learning tasks.
Implementation of hill-climbing and policy gradient RL algorithms on OpenAI Gym Cartpole environment as part of OpenAI Requests for Research.
Code for generating data in ICML 2020 paper "PackIt: A Virtual Environment for Geometric Planning"
Asteroids evasion using OpenAI's gym Reinforcement Learning (RL) package - M.Sc. Thesis in Computer Science, Ben Gurion University Ben Gurion University of the Negev, Israe
Implementing Deep Q Network and its improvement techniques using Pytorch
This project inolved applied Reinfocrcement learnging viz,. Deep Q Learning for the 'cart' to learn to balance the 'pole'
A project to build an AI player for custom game (Kuiper Escape) using reinforcement learning (RL) algorithms.
DQN agent with e-greedy / softmax policy, experience replay and target network.
Probabilistic Reasoning Homework
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