A repostiory to generate grid activation for an environment
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Updated
Jun 4, 2019 - Python
A repostiory to generate grid activation for an environment
Code for reproducing experiments in Model-Based Active Exploration, ICML 2019
Model-based reinforcement learning using CEM, MPC and PETS
A pytorch implementation of A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation.
This repo contains implementations of algorithms such a Q-learning, SARSA, TD, Policy gradient
Model based RL for fault-rotor quadrotor
Trying out a reinforcement learning algorithm that uses predictions of future states
World Models with A3C on Carracing-v0 in gym
PyTorch implementation of "Learning Stable Deep Dynamics Models" (https://papers.nips.cc/paper/9292-learning-stable-deep-dynamics-models), with extensions to controlled dynamical systems.
Model-based Reinforcement Learning Framework
Pytorch implementation of Model Predictive Control with learned models
Sampling based Model Predictive Control package for Model-Based RL research
Learning to paint using Model-based Deep Reinforcement Learning
Planning from Pixels with PlaNet
Bayesian Reinforcement Learning in Tensorflow
Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)
A Reinforcement Learning library for solving custom environments
A model-based approach to novelty search in reinforcement learning
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