RAD: Reinforcement Learning with Augmented Data
☆416Mar 29, 2021Updated 4 years ago
Alternatives and similar repositories for rad
Users that are interested in rad are comparing it to the libraries listed below
Sorting:
- DrQ: Data regularized Q☆419Jan 13, 2023Updated 3 years ago
- CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning☆599Oct 28, 2020Updated 5 years ago
- RAD: Reinforcement Learning with Augmented Data (code for procgen experiments)☆18Mar 29, 2021Updated 4 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆103Mar 24, 2023Updated 2 years ago
- DMControl Generalization Benchmark☆189Jan 3, 2024Updated 2 years ago
- DrQ-v2: Improved Data-Augmented Reinforcement Learning☆432May 31, 2022Updated 3 years ago
- Repository for the paper "Planning to Explore via Self-Supervised World Models"☆234Feb 10, 2023Updated 3 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆254May 3, 2020Updated 5 years ago
- OpenAI Gym wrapper for the DeepMind Control Suite☆229May 19, 2024Updated last year
- ☆52Jul 7, 2020Updated 5 years ago
- Reinforcement Learning in PyTorch☆2,274Jan 4, 2021Updated 5 years ago
- Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.☆114Nov 24, 2020Updated 5 years ago
- Proto-RL: Reinforcement Learning with Prototypical Representations☆86Jun 12, 2022Updated 3 years ago
- Dream to Control: Learning Behaviors by Latent Imagination☆585Sep 10, 2021Updated 4 years ago
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆164Dec 21, 2021Updated 4 years ago
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆154Oct 26, 2020Updated 5 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆591Dec 5, 2021Updated 4 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆537Nov 22, 2022Updated 3 years ago
- Deep Planning Network: Control from pixels by latent planning with learned dynamics☆375Oct 15, 2021Updated 4 years ago
- Dream to Control: Learning Behaviors by Latent Imagination☆710Jul 14, 2020Updated 5 years ago
- [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.☆868Aug 12, 2024Updated last year
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆157Aug 31, 2021Updated 4 years ago
- Collection of reinforcement learning algorithms☆2,877Jun 17, 2024Updated last year
- Code for the paper "Phasic Policy Gradient"☆268Apr 2, 2023Updated 2 years ago
- Official codebase for Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings.☆21Mar 5, 2021Updated 5 years ago
- Code for Automatic Curriculum Learning through Value Disagreement☆31Jun 15, 2020Updated 5 years ago
- Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined wit…☆197Sep 9, 2021Updated 4 years ago
- Code for the paper "Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation"☆19Jul 11, 2023Updated 2 years ago
- Mastering Atari with Discrete World Models☆1,014Jan 21, 2023Updated 3 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆130Mar 21, 2021Updated 5 years ago
- ☆361Oct 12, 2022Updated 3 years ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆560Jun 26, 2023Updated 2 years ago
- Tensorflow 2 source code for the PI-SAC agent from "Predictive Information Accelerates Learning in RL" (NeurIPS 2020)☆45Jun 8, 2023Updated 2 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆168Jan 19, 2025Updated last year
- [ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"☆232Dec 27, 2022Updated 3 years ago
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,531Apr 13, 2024Updated last year
- Code for MOPO: Model-based Offline Policy Optimization☆190May 17, 2022Updated 3 years ago
- FERM: A Framework for Efficient Robotic Manipulation☆123Sep 17, 2022Updated 3 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆152Mar 19, 2021Updated 5 years ago