DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN
☆122Dec 18, 2020Updated 5 years ago
Alternatives and similar repositories for DQN-Atari-Agents
Users that are interested in DQN-Atari-Agents are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆297Feb 24, 2021Updated 5 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆95Mar 4, 2023Updated 3 years ago
- PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF…☆34Oct 10, 2020Updated 5 years ago
- Basic reinforcement learning implementation with tensorflow version 2.0☆52Apr 20, 2020Updated 6 years ago
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…☆354Mar 25, 2023Updated 3 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.
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆46Oct 4, 2020Updated 5 years ago
- very easy implementation of dueling DQN in pytorch☆73Dec 6, 2022Updated 3 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆695Dec 18, 2025Updated 8 months ago
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆25Apr 7, 2021Updated 5 years ago
- Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51☆326Mar 9, 2020Updated 6 years ago
- Code for the paper Alpha Zero in Continuous Action Space (A0C) (https://arxiv.org/pdf/1805.09613.pdf)☆15Jan 19, 2021Updated 5 years ago
- Prioritized Sequence Experience Replay☆10Aug 16, 2021Updated 5 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆63Apr 5, 2021Updated 5 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,079May 19, 2021Updated 5 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.
- PyTorch implementation for "Discovery of Incremental Skills" (DISk) algorithm from ICLR 2022 paper "One After Another: Learning Increment…☆21Mar 22, 2022Updated 4 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆82Oct 25, 2020Updated 5 years ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆217Mar 15, 2023Updated 3 years ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆108Jun 9, 2020Updated 6 years ago
- Controllability-Aware Unsupervised Skill Discovery (ICML 2023)☆30Jun 3, 2023Updated 3 years ago
- Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.☆79Aug 13, 2020Updated 6 years ago
- PyTorch implementation of SAC-Discrete.☆316Jul 25, 2024Updated 2 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆235Jul 10, 2022Updated 4 years ago
- A PyTorch implementation of SEED, originally created by Google Research for TensorFlow 2.☆14Dec 8, 2020Updated 5 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.
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆167Dec 21, 2021Updated 4 years ago
- PyTorch implementation of QR-DQN: Distributional Reinforcement Learning with Quantile Regression☆30Aug 16, 2020Updated 6 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆179Dec 8, 2022Updated 3 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆749May 23, 2022Updated 4 years ago
- A novel DDPG method with prioritized experience replay (IEEE SMC 2017)☆51Nov 13, 2018Updated 7 years ago
- Deep RL algorithm in pytorch☆317Sep 5, 2023Updated 2 years ago
- Official repo for our AAAI'21 paper, https://arxiv.org/abs/2007.12354☆30Jul 14, 2021Updated 5 years ago
- Docker containers of baseline agents for the Crafter environment☆30Dec 14, 2021Updated 4 years ago
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆71Jul 18, 2026Updated last month
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Implementation of Soft Actor-Critic with Hindsight Experience Replay☆21Oct 23, 2020Updated 5 years ago
- This is a DQN-based recommendation system for item-list recommendation and it finally achieved second place in the competition of RL-base…☆11Oct 8, 2021Updated 4 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆149Jan 12, 2019Updated 7 years ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆2,032Jun 20, 2026Updated last month
- [MIG2021] Deep Reinforcement Learning with Particle Filtering Policy Network for Physics-Based Character Control☆18Feb 25, 2022Updated 4 years ago
- Intelligent control algorithm and simulation environment.☆17Jan 6, 2020Updated 6 years ago
- Deep reinforcement learning in autonomous driving☆12Aug 25, 2021Updated 4 years ago