Simple Implementations of RL Algorithm in PyTorch
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Updated
Nov 16, 2021 - Python
Simple Implementations of RL Algorithm in PyTorch
Example FRWR (PDDM) implementation with ReLAx
Testing different Reinforcement Learning strategies inspired by hippocampal replay for robotic navigation
A repostiory to generate grid activation for an environment
Control of InvertedPendulum on a cart
Trying out a reinforcement learning algorithm that uses predictions of future states
Sample efficient model based RL algorithm
Scripts, data and tasks for running the analyses as described in https://psyarxiv.com/ervsb/
Simple Muesli RL algorithm implementation (PyTorch)
Example MBPO implementation with ReLAx
This presentation contains very precise yet detailed explanation of concepts of a very interesting topic -- Reinforcement Learning.
Planning from Pixels with PlaNet
VQ-VAE-based image tokenizer for model-based RL
Zero-trial Model-based Imitation Learning with Partial Trajectory
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.
Behaviour Cloning of Cartpole Swing-up Policy with Model-Predictive Uncertainty Regularization (UW CSE571 Guided Project)
A multi-agent deep reinforcement learning model to de-traffic our lives
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