Code for Go-Explore: a New Approach for Hard-Exploration Problems
☆581Dec 8, 2022Updated 3 years ago
Alternatives and similar repositories for go-explore
Users that are interested in go-explore are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for the paper "Exploration by Random Network Distillation"☆933Oct 1, 2020Updated 5 years ago
- A first bare bones paralleled implementation of Go Explore as described by the Uber Engineering blog post☆46Jan 25, 2019Updated 7 years ago
- Learning Latent Dynamics for Planning from Pixels☆1,258Mar 24, 2023Updated 3 years ago
- Code for the paper "Large-Scale Study of Curiosity-Driven Learning"☆829Aug 12, 2021Updated 4 years ago
- ICML 2018 Self-Imitation Learning☆276Apr 18, 2020Updated 6 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A minimal implementation of Go-Explore without domain knowledge☆15Apr 26, 2021Updated 5 years ago
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,547Mar 30, 2026Updated 2 months ago
- Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆205Oct 2, 2020Updated 5 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆95Jul 27, 2022Updated 3 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,479Dec 7, 2022Updated 3 years ago
- SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's arch…☆835Nov 29, 2022Updated 3 years ago
- Paired Open-Ended Trailblazer (POET) and Enhanced POET☆262Mar 23, 2022Updated 4 years ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,462May 30, 2026Updated last week
- Reinforcement Learning in PyTorch☆2,279Jan 4, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A PyTorch Platform for Distributed RL☆753Sep 15, 2021Updated 4 years ago
- Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"☆207Nov 22, 2018Updated 7 years ago
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆1,026Mar 13, 2019Updated 7 years ago
- Deep Neuroevolution☆1,663Jan 8, 2024Updated 2 years ago
- ☆36Aug 10, 2018Updated 7 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Sep 13, 2019Updated 6 years ago
- CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning☆604Oct 28, 2020Updated 5 years ago
- NIPS 2017 Value Prediction Network☆166Jan 12, 2018Updated 8 years ago
- Collection of reinforcement learning algorithms☆2,904Jun 17, 2024Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks☆39Feb 5, 2020Updated 6 years ago
- Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments☆1,166Mar 27, 2026Updated 2 months ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,424Nov 29, 2023Updated 2 years ago
- ☆567Jan 4, 2023Updated 3 years ago
- impact-driven-exploration☆136Oct 3, 2023Updated 2 years ago
- Guided Evolutionary Strategies☆273Apr 6, 2023Updated 3 years ago
- Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research☆782May 21, 2026Updated 3 weeks ago
- [NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"☆119Dec 13, 2019Updated 6 years ago
- Repository for the paper "Planning to Explore via Self-Supervised World Models"☆239Feb 10, 2023Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Code for the paper "Quantifying Transfer in Reinforcement Learning"☆408Oct 7, 2023Updated 2 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆190Mar 18, 2019Updated 7 years ago
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆475Jul 6, 2023Updated 2 years ago
- ☆93Nov 15, 2019Updated 6 years ago
- Simple and easily configurable 3D FPS-game-like environments for reinforcement learning☆768Mar 2, 2026Updated 3 months ago
- TensorFlow Reinforcement Learning☆3,135Dec 8, 2022Updated 3 years ago
- A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release th…☆205May 25, 2020Updated 6 years ago