PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN
☆46Oct 4, 2020Updated 5 years ago
Alternatives and similar repositories for Munchausen-RL
Users that are interested in Munchausen-RL 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 the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF…☆34Oct 10, 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
- ☆18Sep 7, 2023Updated 2 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆94Mar 4, 2023Updated 3 years ago
- Evolution of Discrete data with Reinforcement Learning☆13Dec 8, 2019Updated 6 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.
- A first bare bones paralleled implementation of Go Explore as described by the Uber Engineering blog post☆46Jan 25, 2019Updated 7 years ago
- Source code for "Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards" (CoRL 2018)☆13Oct 8, 2018Updated 7 years ago
- Exploration by Random Network Distillation☆15Dec 30, 2018Updated 7 years ago
- Code for Optimistic Exploration even with a Pessimistic Initialisation☆14Aug 4, 2020Updated 5 years ago
- Implicit Distributional Actor Critic☆11Dec 8, 2021Updated 4 years ago
- Code for Diagnosing Bottlenecks in Deep Q-learning. Contains implementations of tabular environments plus solvers.☆18May 14, 2019Updated 6 years ago
- An implementation of PPO in Pytorch☆110Apr 8, 2026Updated last week
- ☆14Feb 14, 2020Updated 6 years ago
- Convergent Policy Optimization for Safe Reinforcement Learning☆11Oct 26, 2019Updated 6 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Distributed & asynchronous DQN implementation using gRPC and PyTorch.☆10Feb 15, 2021Updated 5 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
- Smart grid pricing by reinforcement learning☆19Dec 19, 2018Updated 7 years ago
- ♕ A web based and Deep-Reinforcement-Learning-powered open source chess game.☆17Feb 22, 2026Updated last month
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆16Nov 18, 2020Updated 5 years ago
- ☆14Jun 26, 2019Updated 6 years ago
- Various reinforcement learning algorithms written in Jax + Flax☆26Jun 24, 2023Updated 2 years ago
- Bayesian Uncertainty Exploration in Deep Reinforcement Learning☆18Jul 12, 2017Updated 8 years ago
- Code publication to the paper "Normalized Attention Without Probability Cage"☆17Nov 9, 2021Updated 4 years ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- A collection of RL algorithms written in JAX.☆105Jul 5, 2022Updated 3 years ago
- [CoRL 2020] COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning☆35Oct 28, 2020Updated 5 years ago
- Implementation of some of the Deep Distributional Reinforcement Learning Algorithms.☆26Jun 17, 2025Updated 10 months ago
- High performance pytorch modules☆18Jan 14, 2023Updated 3 years ago
- soft q learning and soft actor critic☆16Dec 23, 2018Updated 7 years ago
- Ranking Policy Gradient☆23Nov 27, 2019Updated 6 years ago
- ☆16Dec 23, 2021Updated 4 years ago
- PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning☆51Jun 7, 2021Updated 4 years ago
- Study Group of Model-based RL, 高橋研究室のモデルベース強化学習勉強会のスライドのまとめです☆25Jun 10, 2019Updated 6 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.☆78Aug 13, 2020Updated 5 years ago
- JAX implementations of various deep reinforcement learning algorithms.☆25Feb 2, 2025Updated last year
- Map-Elites based on Evolution Strategies☆33Feb 11, 2022Updated 4 years ago
- ☆13Jul 2, 2021Updated 4 years ago
- Implementation for ACProp ( Momentum centering and asynchronous update for adaptive gradient methdos, NeurIPS 2021)☆16Oct 11, 2021Updated 4 years ago
- RLtime is a reinforcement learning library focused on state-of-the-art q-learning algorithms and features☆142Sep 23, 2019Updated 6 years ago
- MLP-framework (pure numpy) and DDQN-framework for OpenAI's Gym games. +test code for PPO added. +Hindsight Experience Replay(HER) bitfli…☆19May 24, 2018Updated 7 years ago