Rainbow: Combining Improvements in Deep Reinforcement Learning
☆1,671Jan 13, 2022Updated 4 years ago
Alternatives and similar repositories for Rainbow
Users that are interested in Rainbow 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 Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,898May 29, 2022Updated 3 years ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆2,023Apr 13, 2026Updated 3 weeks ago
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,176Nov 4, 2021Updated 4 years ago
- A PyTorch implementation of Rainbow DQN agent☆170Apr 23, 2018Updated 8 years ago
- Reinforcement Learning in PyTorch☆2,275Jan 4, 2021Updated 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.
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,426Apr 16, 2024Updated 2 years ago
- Collection of reinforcement learning algorithms☆2,900Jun 17, 2024Updated last year
- OpenAI Baselines: high-quality implementations of reinforcement learning algorithms☆16,710Aug 1, 2024Updated last year
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,324Sep 25, 2019Updated 6 years ago
- RainBow, Tensorflow☆49Mar 28, 2018Updated 8 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,058Jun 10, 2023Updated 2 years ago
- ☆14Jul 2, 2019Updated 6 years ago
- Code for the paper "Exploration by Random Network Distillation"☆933Oct 1, 2020Updated 5 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,081May 19, 2021Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Noisy Networks for Exploration☆187Jan 28, 2018Updated 8 years ago
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆1,023Mar 13, 2019Updated 7 years ago
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,308Jul 31, 2024Updated last year
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆190Mar 18, 2019Updated 7 years ago
- lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.☆378Nov 19, 2022Updated 3 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,482Dec 7, 2022Updated 3 years ago
- ☆93Nov 15, 2019Updated 6 years ago
- Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)☆819Dec 6, 2022Updated 3 years ago
- Gated Path Planning Networks (ICML 2018)☆180Jan 23, 2019Updated 7 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- A working implementation of the Categorical DQN (Distributional RL).☆95Apr 7, 2018Updated 8 years ago
- Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillio…☆3,670May 25, 2024Updated last year
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,124Oct 13, 2017Updated 8 years ago
- Train an RL agent to localize actively (PyTorch)☆212Apr 9, 2018Updated 8 years ago
- Deep Reinforcement Learning with pytorch & visdom☆805Jul 16, 2020Updated 5 years ago
- TensorFlow Reinforcement Learning☆3,135Dec 8, 2022Updated 3 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,323Sep 4, 2022Updated 3 years ago
- Run fully connected artificial neural networks with dropout applied (mini)batchwise, rather than samplewise. Given two hidden layers each…☆15May 18, 2015Updated 10 years ago
- Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.☆10,876Mar 24, 2026Updated last month
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆2,068Jul 14, 2023Updated 2 years ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,446Apr 25, 2026Updated 2 weeks ago
- NIPS 2017 Value Prediction Network☆168Jan 12, 2018Updated 8 years ago
- ICML 2018 Self-Imitation Learning☆276Apr 18, 2020Updated 6 years ago
- Code for Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights☆183May 2, 2019Updated 7 years ago
- A PyTorch Platform for Distributed RL☆752Sep 15, 2021Updated 4 years ago
- A3C LSTM Atari with Pytorch plus A3G design☆568Apr 18, 2023Updated 3 years ago