Training anki robots to do simple things e.g. "go to the green cup"
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Updated
Jan 27, 2019 - Python
Training anki robots to do simple things e.g. "go to the green cup"
Repository for Gamma Star Project (FYP 2020 - 2021)
Assignments for CS 747 course offered at IIT Bombay
The gym-cityflow environment is a multiagent domain featuring large discrete state and action spaces. An environment can be created from any set of cityflow config files
HRL envs from Data efficient hierarchical reinforcement learning in Julia using Lyceum MuJoCo
A Gymnasium environment modelling Probabilistic Boolean Networks and Probabilistic Boolean Control Networks.
This package is an attempt to make a Q-learning agent play at chess
A Comparison between state representation for DeepRL in Kirby Dream Land
Game/Simulation which is a 2D-analog of Counter Strike as a target for Deep Reinforcement Learning.
The aim of the project is to perform Q-learning on a historical stock price for Nvidia for the last 5 years dataset which is reinforcement learning. I have trained the agent by using temporal difference and performed Q - Learning . I was able to successfully construct a Q -Table at the end of training . I Used this Q-table to evaluate the algori…
This wrapper adds an "inner state" created by the agent which is propagated to the next step.
This environment is a modification of the CliffWalking Toy Text environments from Gymnasium. Monster cliff walking involves crossing a gridworld from start to goal while avoiding falling off a cliff and meeting a Monster
We Implement algorithms such as: Monte Carlo(on and off policy), Q-Learning, SARSA, Policy Iteration and Value Iteration on OpenAI Gym environments.
Setting up C elegans as an RL environment.
deep learning / rl framework for unity.
Custom environments for K-Armed Bandit built using OpenAI's Gym
My Personal AI Lab
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