PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF) and Extensions: N-step Bootstrapping, PER, Noisy Layer, Dueling Networks, and parallelization.
☆34Oct 10, 2020Updated 5 years ago
Alternatives and similar repositories for FQF-and-Extensions
Users that are interested in FQF-and-Extensions are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆44Oct 4, 2020Updated 5 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆92Mar 4, 2023Updated 2 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆188Jul 25, 2024Updated last year
- FQF(Fully parameterized Quantile Function for distributional reinforcement learning) is a general reinforcement learning framework for At…☆47Sep 26, 2020Updated 5 years ago
- PyTorch implementation of QR-DQN: Distributional Reinforcement Learning with Quantile Regression☆29Aug 16, 2020Updated 5 years ago
- A Reinforcement Learning / Neural Network library, written in Rust.☆21Mar 7, 2021Updated 4 years ago
- Distributional Soft Actor Critic☆60Jun 6, 2020Updated 5 years ago
- Official implementation of the UMDQN algorithm presented in the scientific research paper entitled "Distributional Reinforcement Learning…☆11Jun 3, 2022Updated 3 years ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆215Mar 15, 2023Updated 2 years ago
- PyTorch - Implicit Quantile Networks - Quantile Regression - C51☆22Jul 26, 2019Updated 6 years ago
- Reinforcement learning algorithm implementation☆10Oct 31, 2021Updated 4 years ago
- Distributed & asynchronous DQN implementation using gRPC and PyTorch.☆10Feb 15, 2021Updated 5 years ago
- Official implementation of the algorithmic approach presented in the research paper entitled "Risk-Sensitive Policy with Distributional R…☆15Dec 19, 2022Updated 3 years ago
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆24Apr 7, 2021Updated 4 years ago
- ☆14Jun 26, 2019Updated 6 years ago
- Trade using DRL algorithms on tensorflow2 and tf-agents☆11Oct 10, 2025Updated 4 months ago
- Evolution of Discrete data with Reinforcement Learning☆13Dec 8, 2019Updated 6 years ago
- Deep Q-Learning Auto Market Maker☆12Jun 12, 2021Updated 4 years ago
- Count based exploration with the successor representation for Unity ML's Pyramid☆12Jun 19, 2019Updated 6 years ago
- Bayesian Uncertainty Exploration in Deep Reinforcement Learning☆18Jul 12, 2017Updated 8 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆122Dec 18, 2020Updated 5 years ago
- Deep Reinforcement Learning with Double Q-learning☆14Nov 17, 2020Updated 5 years ago
- TensorFlow implementation of Deep RL (Reinforcement Learning) papers based on deep Q-learning (DQN)☆10Mar 1, 2018Updated 8 years ago
- [MIG2021] Deep Reinforcement Learning with Particle Filtering Policy Network for Physics-Based Character Control☆17Feb 25, 2022Updated 4 years ago
- stock trading by Deep Q-Learning (Deep Q Network)☆13Feb 6, 2017Updated 9 years ago
- 🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.☆70Feb 28, 2021Updated 5 years ago
- trading by Deep Q-Network☆15Oct 20, 2016Updated 9 years ago
- Deep Reinforcement Learning by using Phasic Policy Gradient in Pytorch & Tensorflow☆20Oct 5, 2021Updated 4 years ago
- An example and description to Reinforcement Learning DQN model and dataformats for trading☆16Mar 30, 2019Updated 6 years ago
- RainbowDQN algorithm for GYM highway environment☆20Jun 22, 2021Updated 4 years ago
- A recurrent neural network heavily inspired by Long Short Term Memory, but simpler.☆21May 4, 2013Updated 12 years ago
- Template-DQN and DRRN agent implementations☆22Jun 12, 2023Updated 2 years ago
- Applying Reinforcement learning models for stock price predictions☆25Nov 2, 2018Updated 7 years ago
- The implement of all kinds of dqn reinforcement learning with Pytorch☆96Mar 25, 2021Updated 4 years ago
- A3C-LSTM algorithm tested on CartPole OpenAI Gym environment☆48Jul 4, 2018Updated 7 years ago
- An implementation of a stock market trading bot, which uses Deep Q Learning☆24Nov 21, 2022Updated 3 years ago
- An autonomous Vehicle running on CARLA simulator☆22Mar 1, 2021Updated 5 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆98Sep 3, 2020Updated 5 years ago
- Synchronous memory pipe for Rust☆31Nov 28, 2020Updated 5 years ago