Deep Q Learning playing breakout on OpenGym
☆23Jun 11, 2018Updated 8 years ago
Alternatives and similar repositories for DeepQLearning
Users that are interested in DeepQLearning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This is an implementation of Deep Q Learning (DQN) playing Breakout from OpenAI's gym with Keras.☆29Feb 7, 2018Updated 8 years ago
- Play Breakout with DQN in pytorch.☆11Dec 19, 2021Updated 4 years ago
- Reinforcement Learning | tensorflow implementation of DQN, Dueling DQN and Double DQN performed on Atari Breakout☆97Jun 22, 2018Updated 8 years ago
- ☆14Nov 4, 2019Updated 6 years ago
- DQN with pytorch with on Breakout and SpaceInvaders☆27Aug 13, 2019Updated 7 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Playing Breakout with double deep Q network☆13Mar 19, 2017Updated 9 years ago
- Assignments for CS294-112.☆10Nov 16, 2018Updated 7 years ago
- Implementation of various generative models☆14Oct 1, 2018Updated 7 years ago
- DQN implemented in keras with Dueling Network and Prioritized Experience Replay☆16Nov 21, 2018Updated 7 years ago
- 1-step Q Learning from the paper "Asynchronous Methods for Deep Reinforcement Learning"☆12Mar 13, 2017Updated 9 years ago
- Python implementation of PCA on graph ECTD☆12May 29, 2024Updated 2 years ago
- Explaining neural decisions contrastively to alternative decisions.☆24Mar 18, 2021Updated 5 years ago
- ☆16Oct 29, 2019Updated 6 years ago
- Python package for inference with Gaussian processes☆11Mar 25, 2015Updated 11 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Evaluating variational inference using Pareto-smoothed importance sampling and simulation-based calibration☆12Jun 8, 2018Updated 8 years ago
- This is the code for the SF Python meetup group tutorial on reinforcement learning☆13Jun 1, 2017Updated 9 years ago
- Sharing Deep Learning Research Models with Lightning Part 1: Building A Super Resolution App☆16Jun 30, 2022Updated 4 years ago
- LoraWAN-in-C library, adapted to run with CSMA under the Arduino IDE☆18Jul 13, 2020Updated 6 years ago
- Bayesian Graph Neural Networks☆11Sep 10, 2021Updated 4 years ago
- ☆18Feb 22, 2023Updated 3 years ago
- Assignments for CS294-112.☆17Jul 13, 2018Updated 8 years ago
- Command line wrapper to run `uv publish` using default credentials from `~/.pypirc`☆13Updated this week
- UAI paper 'Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions'☆11Jun 26, 2019Updated 7 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- ☆12Jun 5, 2015Updated 11 years ago
- Official implementation for "MM-Eval: A Multilingual Meta-Evaluation Benchmark for LLM-as-a-Judge and Reward Models"☆20Oct 26, 2024Updated last year
- reinforcement learning, deep Q-network, double DQN, dueling DQN, prioritized experience replay☆31May 22, 2018Updated 8 years ago
- Shared repository for personal idyll posts☆13Dec 7, 2021Updated 4 years ago
- Efficient non-linear PCA through kernel PCA with the Nyström method☆13May 19, 2023Updated 3 years ago
- My solutions to the UC Berkeley Deep Reinforcement Learning course offered in 2017 Fall, taught by Sergey Levine. Course URL: rll.berkele…☆13Mar 29, 2018Updated 8 years ago
- ☆20Nov 7, 2024Updated last year
- Example plugin for Rivet, showing how to execute a python script in a node☆11Nov 15, 2023Updated 2 years ago
- Re-Implementation of Gaussian Process Latent Variable Model algorithm & performance assessment against Kernel-PCA☆15Oct 9, 2024Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Codes for Hilbert space reduced-rank GP regression☆15Jul 30, 2019Updated 7 years ago
- Nearest Neighbor Gaussian Processes (NNGP) based models is a family of highly scalable Gaussian processes based models. In brief, NNGP ex…☆18Jun 9, 2020Updated 6 years ago
- An experiment with Thompson sampling and TD(0) on a grid world variant☆17Nov 8, 2013Updated 12 years ago
- Fast graph classifier with optical random features☆12Mar 2, 2021Updated 5 years ago
- Awesome-Multilingual-LLMs-Papers☆35Jan 21, 2025Updated last year
- Codebase for the paper "Adversarial Attacks on Time Series"☆22Mar 1, 2019Updated 7 years ago
- Gaussian process modeling in R☆16Nov 20, 2022Updated 3 years ago