rraileanu / auto-dracView external linksLinks
Automatic Data-Regularized Actor-Critic (Auto-DrAC)
☆103Mar 24, 2023Updated 2 years ago
Alternatives and similar repositories for auto-drac
Users that are interested in auto-drac are comparing it to the libraries listed below
Sorting:
- ☆54Feb 28, 2024Updated last year
- RAD: Reinforcement Learning with Augmented Data☆416Mar 29, 2021Updated 4 years ago
- DMControl Generalization Benchmark☆188Jan 3, 2024Updated 2 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆64Sep 6, 2023Updated 2 years ago
- ☆10Aug 17, 2022Updated 3 years ago
- Retrieve information from DBLP and update BibTex files automatically☆54Jun 4, 2022Updated 3 years ago
- DrQ: Data regularized Q☆420Jan 13, 2023Updated 3 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆253May 3, 2020Updated 5 years ago
- Code to reproduce the NeurIPS 2019 paper "Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottlen…☆52Jun 28, 2020Updated 5 years ago
- Proto-RL: Reinforcement Learning with Prototypical Representations☆86Jun 12, 2022Updated 3 years ago
- Official PyTorch implementation of "Rethinking Value Function Learning for Generalization in Reinforcement Learning" (NeurIPS 2022)☆14Feb 20, 2023Updated 2 years ago
- CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning☆598Oct 28, 2020Updated 5 years ago
- Solving reinforcement learning tasks which require language and vision☆33Apr 4, 2023Updated 2 years ago
- Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning / ICLR 2020☆56Apr 27, 2020Updated 5 years ago
- Invariant Causal Prediction for Block MDPs☆44Jun 11, 2020Updated 5 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Feb 3, 2022Updated 4 years ago
- Implementation of CASCADE in Learning General World Models in a Handful of Reward-Free Deployments (NeurIPS 22).☆29Oct 25, 2022Updated 3 years ago
- Repository for ML Reproducibility Challenge 2020 for the Neurips paper, "The Value Equivalence Principle for Model-Based Reinforcement Le…☆18Apr 13, 2021Updated 4 years ago
- RC-NFQ: Regularized Convolutional Neural Fitted Q Iteration. A batch algorithm for deep reinforcement learning. Incorporates dropout regu…☆12Mar 17, 2021Updated 4 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆92Jun 11, 2021Updated 4 years ago
- Reinforcement Learning with Latent Flow☆44Mar 25, 2021Updated 4 years ago
- ☆30Jan 17, 2022Updated 4 years ago
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆154Oct 26, 2020Updated 5 years ago
- JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"☆44Jun 14, 2021Updated 4 years ago
- using information theory to encourage agents to cooperate and compete☆19Oct 4, 2018Updated 7 years ago
- Code for the paper "Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation"☆19Jul 11, 2023Updated 2 years ago
- Official code for "Pretraining Representations For Data-Efficient Reinforcement Learning" (NeurIPS 2021)☆55Jul 27, 2021Updated 4 years ago
- ☆359Oct 12, 2022Updated 3 years ago
- Latent World Models For Intrinsically Motivated Exploration | Official repository☆22Apr 28, 2021Updated 4 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆152Mar 19, 2021Updated 4 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆95Jul 27, 2022Updated 3 years ago
- 📴 OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)☆25Jun 20, 2021Updated 4 years ago
- ☆25Jan 2, 2019Updated 7 years ago
- RAD: Reinforcement Learning with Augmented Data (code for procgen experiments)☆18Mar 29, 2021Updated 4 years ago
- Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.☆114Nov 24, 2020Updated 5 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Feb 21, 2020Updated 5 years ago
- impact-driven-exploration☆133Oct 3, 2023Updated 2 years ago
- Repository for Iterated Relearning: The Impact of Non-stationarity on Generalisation in Deep Reinforcement Learning☆11Jun 8, 2020Updated 5 years ago
- Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning☆11Jun 16, 2022Updated 3 years ago