Synthesizing safe robot policies in joint physical-belief spaces with deep RL! - CoRL 2023
-
Updated
Jun 24, 2024 - Python
Synthesizing safe robot policies in joint physical-belief spaces with deep RL! - CoRL 2023
A collection of RL algorithms in PyTorch
Simple PyTorch implementation of the Vanilla Policy Gradient algorithm.
A curated list of awesome intelligent autonomous systems ecosystem
$GME Trading using Deep Reinforcement Learning algorithms
An application of Reinforcement Learning (RL) from the SDD RL class to function approximators and deep learning.
You can see a reference for Books, Articles, Courses and Educational Materials in this field. Implementation of Reinforcement Learning Algorithms and Environments. Python, OpenAI Gym, Tensorflow.
Deep RL for unsupervised hyperspectral band selection.
Yet another deep reinforcement learning
My solution to the NeurIPS challenge Learn to Move: Walk Around
Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement Learning
Simple DQN implementation in jupyter notebook
A collection of deep and tabular reinforcement learning algorithms, including implementations of DQN, Dueling DQN, Q-learning, SARSA, n-step Tree Backup, and Monte Carlo.
Code for NeurIPS 2023 paper Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples
Exploration of deep reinforcement learning and various state-of-the-art techniques to create a turely autonomous agent.
This repository implements the use of AI for robot tasks.
Add a description, image, and links to the deep-rl topic page so that developers can more easily learn about it.
To associate your repository with the deep-rl topic, visit your repo's landing page and select "manage topics."