Deep RL framework for exploring state spaces of finite state machines.
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Updated
Mar 4, 2022 - Jupyter Notebook
Deep RL framework for exploring state spaces of finite state machines.
PyBullet environments to use Reinforcement learning with Stable Baselines 3
A Guide to Problems and Solutions on Genetic Algorithms
The aim of this repository is the analysis and study of computer intelligence and in-depth learning techniques in the development of intelligent gaming agents.
This project implements an agent for playing the SonicTheHedgehog2 game from a ROM file using the Proximal Policy Optimization (PPO) algorithm from the stablebaselines3 library. The agent is trained to learn the optimal actions to take at each step in the game in order to complete the level and maximize the score.
Distributed training for RL algo on pytorch
Source code for the numerical experiments presented in the paper "On the Unreasonable Efficiency of State Space Clustering in Personalization Tasks".
Superconducting RadioFrequency cavity Frequency Control by Reinforcement Learning
Clean and flexible implementation of PPO (built on top of stable-baselines3)
🐵 Recreation of Theory of Mind experiment done on chimpanzees as an RL environment
A set of utilities for the Rocket League bot Lucy, useful for building effective Reinforcement Learning agents for Rocket League, using RLGym
Reinforcement learning for optimizing energy distribution, effective resource management through simulation.
Comparing the performance of MPC based racing and RL based racing
A grid-like environment (multi-agent system) used by an intelligent agent (or more than one agent) in order for it/them to carry the orbs to the pits in a limited number of movements.
Trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.
Deep reinforcement learning for intelligent power control in IoT
In this project, I created an agent to solve the CartPole task using the stablebaselines3 library. CartPole is a problem from the OpenAI Gym catalog, in which the goal is to maintain balance of a wooden pole using motors attached to its ends. The agent must decide whether to move the pole left or right to maintain balance.
Monorepo for our CV&RL course project: self parking
Train Soft Actor-Critic model for KukaDiverseObject environment in pybullet
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