Code for the paper "Large-Scale Study of Curiosity-Driven Learning"
☆828Aug 12, 2021Updated 5 years ago
Alternatives and similar repositories for large-scale-curiosity
Users that are interested in large-scale-curiosity are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,489Dec 7, 2022Updated 3 years ago
- Code for the paper "Exploration by Random Network Distillation"☆930Oct 1, 2020Updated 6 years ago
- [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement☆130Jun 11, 2019Updated 7 years ago
- Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"☆346Nov 22, 2018Updated 7 years ago
- RUDDER for ATARI games with delayed rewards in OpenAI Baselines package☆268Oct 24, 2019Updated 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.
- Learning Latent Dynamics for Planning from Pixels☆1,262Mar 24, 2023Updated 3 years ago
- Code for Go-Explore: a New Approach for Hard-Exploration Problems☆587Dec 8, 2022Updated 3 years ago
- Code for the paper "Emergent Complexity via Multi-agent Competition"☆838Apr 2, 2023Updated 3 years ago
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆1,031Mar 13, 2019Updated 7 years ago
- Code for the paper "Meta-Learning Shared Hierarchies"☆620Jul 6, 2023Updated 3 years ago
- TensorFlow Reinforcement Learning☆3,129Dec 8, 2022Updated 3 years ago
- Code for the paper "Quantifying Transfer in Reinforcement Learning"☆405Oct 7, 2023Updated 3 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆438Nov 28, 2023Updated 2 years ago
- Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆205Oct 2, 2020Updated 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.
- Curiosity-driven Exploration by Self-supervised Prediction☆148Mar 12, 2023Updated 3 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,080Jun 10, 2023Updated 3 years ago
- ☆118Jul 9, 2020Updated 6 years ago
- [NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"☆120Dec 13, 2019Updated 6 years ago
- OpenAI Baselines: high-quality implementations of reinforcement learning algorithms☆16,778Aug 1, 2024Updated 2 years ago
- Code for the paper "Generative Adversarial Imitation Learning"☆726Nov 22, 2018Updated 7 years ago
- Code for the paper "Evolved Policy Gradients"☆253Nov 22, 2018Updated 7 years ago
- ICML 2018 Self-Imitation Learning☆279Apr 18, 2020Updated 6 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,904May 29, 2022Updated 4 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.
- Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.☆10,922Mar 24, 2026Updated 6 months ago
- A collection of reading material for the Workshop on "Structure & Priors in Reinforcement Learning" (SPiRL) at ICLR 2019.☆13May 5, 2021Updated 5 years ago
- Retro Games in Gym☆3,580Feb 22, 2024Updated 2 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,439Nov 29, 2023Updated 2 years ago
- Code for the paper "Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents"☆1,654Jul 21, 2023Updated 3 years ago
- Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"☆206Nov 22, 2018Updated 7 years ago
- [ICLR 2018] TensorFlow code for zero-shot visual imitation by self-supervised exploration☆204May 30, 2018Updated 8 years ago
- Reinforcement Learning in PyTorch☆2,277Jan 4, 2021Updated 5 years ago
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,563Oct 5, 2026Updated last week
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"☆310Apr 13, 2023Updated 3 years ago
- Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.☆4,708Oct 5, 2026Updated last week
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆186Nov 1, 2017Updated 8 years ago
- Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch☆885Dec 27, 2022Updated 3 years ago
- lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.☆378Nov 19, 2022Updated 3 years ago
- Code for hierarchical imitation learning and reinforcement learning☆303Mar 14, 2018Updated 8 years ago
- Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"☆1,633Oct 31, 2019Updated 6 years ago