Simple Implementations of RL Algorithm in PyTorch
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Updated
Nov 16, 2021 - Python
Simple Implementations of RL Algorithm in PyTorch
A repostiory to generate grid activation for an environment
Reinforcement Learning (RL) 🤖! This repository is your hands-on guide to implementing RL algorithms, from Markov Decision Processes (MDPs) to advanced methods like PPO and DDPG. 🚀 Build smart agents, learn the math behind policies, and experiment with real-world applications! 🔥💡
Control of InvertedPendulum on a cart
Example FRWR (PDDM) implementation with ReLAx
Trying out a reinforcement learning algorithm that uses predictions of future states
Scripts, data and tasks for running the analyses as described in https://psyarxiv.com/ervsb/
Simple Muesli RL algorithm implementation (PyTorch)
A Reinforcement Learning library for solving custom environments
This presentation contains very precise yet detailed explanation of concepts of a very interesting topic -- Reinforcement Learning.
Behaviour Cloning of Cartpole Swing-up Policy with Model-Predictive Uncertainty Regularization (UW CSE571 Guided Project)
Testing different Reinforcement Learning strategies inspired by hippocampal replay for robotic navigation
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.
RLFlow: Optimising Neural Network Subgraph Transformation with World Models
Example MBPO implementation with ReLAx
Planning from Pixels with PlaNet
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