Model-based reinforcement learning using CEM, MPC and PETS
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Updated
Nov 20, 2019 - Python
Model-based reinforcement learning using CEM, MPC and PETS
Example MBPO implementation with ReLAx
This presentation contains very precise yet detailed explanation of concepts of a very interesting topic -- Reinforcement Learning.
Simple Implementations of RL Algorithm in PyTorch
Behaviour Cloning of Cartpole Swing-up Policy with Model-Predictive Uncertainty Regularization (UW CSE571 Guided Project)
Codes for "Efficient Offline Policy Optimization with a Learned Model", ICLR2023
This is the official PyTorch implementation of my Master thesis. The main goal of this work was to optimize latent dynamics models with unsupervised representation learning.
A model-based approach to novelty search in reinforcement learning
Example FRWR (PDDM) implementation with ReLAx
VQ-VAE-based image tokenizer for model-based RL
Control of InvertedPendulum on a cart
A repostiory to generate grid activation for an environment
A multi-agent deep reinforcement learning model to de-traffic our lives
Trying out a reinforcement learning algorithm that uses predictions of future states
Sample efficient model based RL algorithm
RLFlow: Optimising Neural Network Subgraph Transformation with World Models
Model-Based Generative Adversarial Imitation Learning
This repository contains all of the Reinforcement Learning-related projects I've worked on. The projects are part of the graduate course at the University of Tehran.
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