PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER, Noisy layer, N-step bootstrapping, Dueling architecture and parallel env support.
☆92Mar 4, 2023Updated 3 years ago
Alternatives and similar repositories for IQN-and-Extensions
Users that are interested in IQN-and-Extensions are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF…☆34Oct 10, 2020Updated 5 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆189Jul 25, 2024Updated last year
- Implementation of some of the Deep Distributional Reinforcement Learning Algorithms.☆25Jun 17, 2025Updated 8 months ago
- Distributional Soft Actor Critic☆60Jun 6, 2020Updated 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 QR-DQN: Distributional Reinforcement Learning with Quantile Regression☆29Aug 16, 2020Updated 5 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 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
- 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
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆44Oct 4, 2020Updated 5 years ago
- Implicit Distributional Actor Critic☆11Dec 8, 2021Updated 4 years ago
- A Deep Reinforcement Learning Strategy and Framework for Floating Waste Capture☆13Mar 13, 2025Updated 11 months ago
- Reinforcement learning algorithm implementation☆10Oct 31, 2021Updated 4 years ago
- ☆11Oct 19, 2020Updated 5 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL …☆295Feb 24, 2021Updated 5 years ago
- Adaptive Risk Tendency Implicit Quantile Network for Drone Navigation under Partial Observability.☆37Mar 29, 2022Updated 3 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆48Apr 14, 2019Updated 6 years ago
- ICLR Reproducibility Challenge for Discriminator-Actor-Critic☆20Jan 7, 2019Updated 7 years ago
- Count based exploration with the successor representation for Unity ML's Pyramid☆12Jun 19, 2019Updated 6 years ago
- PyTorch - Implicit Quantile Networks - Quantile Regression - C51☆22Jul 26, 2019Updated 6 years ago
- Code for VIREL: A Variational Inference Framework for Reinforcement Learning☆14Dec 1, 2019Updated 6 years ago
- Code for Optimistic Exploration even with a Pessimistic Initialisation☆14Aug 4, 2020Updated 5 years ago
- FQF(Fully parameterized Quantile Function for distributional reinforcement learning) is a general reinforcement learning framework for At…☆47Sep 26, 2020Updated 5 years ago
- Model-based reinforcement learning using CEM, MPC and PETS☆16Nov 20, 2019Updated 6 years ago
- The implementation of Discriminator Soft Actor Critic☆15Jan 25, 2020Updated 6 years ago
- Open source code combining implementations of Upside Down Reinforcement Learning and Reward Conditioned Policies☆19Mar 10, 2021Updated 4 years ago
- Actor-Sharer-Learner training framework for off-policy DRL algorithms☆22Dec 29, 2024Updated last year
- Deep Q-Network (DQN) and Fitted Q-Iteration (FQI) tutorial for RL Summer School 2023☆88Oct 1, 2025Updated 5 months ago
- Simple JAX Graphics Library.☆36Nov 3, 2024Updated last year
- Efficient Exploration through Bayesian Deep-Q Networks.☆18Mar 22, 2022Updated 3 years ago
- A Reinforcement Learning / Neural Network library, written in Rust.☆21Mar 7, 2021Updated 4 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆98Sep 3, 2020Updated 5 years ago
- Official implementation of A Mixture of Surprises for Unsupervised Reinforcement Learning☆23Nov 16, 2022Updated 3 years ago
- DSAC; Distributional Soft Actor-Critic☆139Feb 12, 2025Updated last year
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆56Mar 12, 2025Updated 11 months ago
- Thesis in Federated Learning using an Edge/Cloud Computing architecture☆10Feb 26, 2021Updated 5 years ago
- A bot for automatically completing the KAIST safety course☆10Aug 29, 2023Updated 2 years ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆129Feb 8, 2022Updated 4 years ago
- Simple single file implementations of Reinforcement Learning algorithms in Julia☆23Feb 15, 2025Updated last year