This presentation contains very precise yet detailed explanation of concepts of a very interesting topic -- Reinforcement Learning.
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Updated
Dec 25, 2017
This presentation contains very precise yet detailed explanation of concepts of a very interesting topic -- Reinforcement Learning.
The Reinforcement-Learning-Related Papers of ICLR 2019
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
A curated list of awesome Model-based reinforcement learning resources
Pytorch implementation of Model Predictive Control with learned models
Sampling based Model Predictive Control package for Model-Based RL research
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