Tensorflow implementation for "Noisy network for exploration"
☆19Aug 2, 2017Updated 8 years ago
Alternatives and similar repositories for NoisyNetDQN
Users that are interested in NoisyNetDQN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Tensorflow Implementation for "Noisy network for exploration"☆32Jul 17, 2017Updated 9 years ago
- A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)☆57Aug 25, 2017Updated 8 years ago
- Deep reinforcement learning baselines base on OpenAI. More algorithms are included, such as Rainbow: Combining Improvements in Deep Rei…☆35Aug 23, 2018Updated 7 years ago
- 蚂蚁金服-用户精确定位比赛☆12Oct 7, 2017Updated 8 years ago
- Code for ICLR 2022 Paper (HyperDQN: A Randomized Exploration Method for Deep Reinforcement Learning)☆12Nov 28, 2023Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Noisy Networks for Exploration☆187Jan 28, 2018Updated 8 years ago
- ☆15May 16, 2017Updated 9 years ago
- Distributed (and single-agent) reinforcement learning code for simulated multi-robot distributed assembly.☆26May 12, 2018Updated 8 years ago
- Training Reinforcement Learning agent using derivative of Generative Recurrent Neural Network model of environment☆24Nov 11, 2016Updated 9 years ago
- (Keras) Use deep Q-learning to build two Gomoku (Five-in-a-Row) agents playing against each other.☆19Oct 8, 2016Updated 9 years ago
- ☆18May 17, 2021Updated 5 years ago
- RC-NFQ: Regularized Convolutional Neural Fitted Q Iteration. A batch algorithm for deep reinforcement learning. Incorporates dropout regu…☆12Mar 17, 2021Updated 5 years ago
- Actor-critic with experience replay☆257Oct 9, 2022Updated 3 years ago
- Recursive importance sampling for Nyström kernel matrix approximation☆14Sep 7, 2017Updated 8 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- An implementation of the A3C deep reinforcement learning method using a LSTM layer. Created with Tensorflow.☆29Oct 18, 2017Updated 8 years ago
- My attempt to run DQN on Jetson TX1, which learns how to play Nintendo Famicom Mini games through reinforcement learning directly.☆15Mar 23, 2018Updated 8 years ago
- ☆10Jul 13, 2024Updated 2 years ago
- Duel_DDQN (Dueling Network Architectures + Double DQN) using Keras☆30Jun 26, 2016Updated 10 years ago
- This repository provides simulator codes for predicting and tracking popular discussion threads on Reddit☆21Sep 10, 2016Updated 9 years ago
- A PyTorch Implementation of PlaNet: A Deep Planning Network for Reinforcement Learning☆13Aug 31, 2020Updated 5 years ago
- AI learning from visual input using ViZDoom environment.☆12Jul 24, 2016Updated 10 years ago
- This is a TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DDPG)☆11Sep 14, 2017Updated 8 years ago
- Implementation of Hierarchical Deep Q-Learning (Kulkarni et al., 2016)☆37May 18, 2019Updated 7 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆14May 30, 2019Updated 7 years ago
- Experiments for performing empirical game-theoretic analysis of networked system control for common-pool resource management using multi-…☆19Oct 11, 2020Updated 5 years ago
- OCR detection implement with tensorflow v1.4☆15Jan 8, 2018Updated 8 years ago
- Contextual Bandits Action Elimination DQN☆21Jun 25, 2018Updated 8 years ago
- AutoGL is a graph learning framework with automatic machine learning techniques, and the 6th solution for AutoGraph Challenge@KDD'20☆10Aug 31, 2020Updated 5 years ago
- An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆131Dec 5, 2017Updated 8 years ago
- Official implementation of MURAL (ICML 2021)☆17Sep 23, 2021Updated 4 years ago
- ☆15Jul 8, 2020Updated 6 years ago
- This project applies Monte Carlo Tree Search (MCTS) to a simple grid world.☆10May 30, 2018Updated 8 years ago
- 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.
- A (very amateur) foreign exchange trading bot utilizing CNN + DQN.☆32Nov 25, 2019Updated 6 years ago
- ☆14May 4, 2021Updated 5 years ago
- Deep Reinforcement Learning framework that uses GNN to solve planning tasks for infrastructural assets☆17Jan 15, 2022Updated 4 years ago
- Revisiting Peng's Q(lambda) for Modern Reinforcement Learning☆15Jul 23, 2021Updated 5 years ago
- Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…☆45Oct 29, 2020Updated 5 years ago
- Deep Learning Research☆16Nov 13, 2019Updated 6 years ago
- A benchmark to evaluate popular CASH and AutoML frameworks☆16Mar 25, 2024Updated 2 years ago