Explorer is a PyTorch reinforcement learning framework for exploring new ideas.
☆98Jul 17, 2026Updated 3 months ago
Alternatives and similar repositories for Explorer
Users that are interested in Explorer are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Jaxplorer is a Jax reinforcement learning (RL) framework for exploring new ideas.☆12Jul 19, 2024Updated 2 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆188Nov 14, 2024Updated last year
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Feb 21, 2020Updated 6 years ago
- A Python Toolkit for Managing a Large Number of Experiments☆32Feb 9, 2024Updated 2 years ago
- PyTorch implementation of Munchausen Reinforcement Learning based on DQN and SAC. Handles discrete and continuous action spaces☆15Oct 3, 2021Updated 5 years ago
- 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.
- ☆11Oct 19, 2020Updated 6 years ago
- Revisiting Peng's Q(lambda) for Modern Reinforcement Learning☆15Jul 23, 2021Updated 5 years ago
- Code associated with our paper "Robust Domain Randomization for Reinforcement Learning"☆12Nov 22, 2022Updated 3 years ago
- Pytorch Implementation of AAMAS 2021 paper <Energy-Based Imitation Learning>☆12Oct 8, 2021Updated 5 years ago
- Model-Free-Episodic-Control implementation.☆18Jun 3, 2019Updated 7 years ago
- Optim4RL is a Jax framework of learning to optimize for reinforcement learning.☆28Nov 27, 2024Updated last year
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆65Nov 8, 2019Updated 6 years ago
- Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…☆22Feb 24, 2023Updated 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 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.
- ☆14Jun 26, 2019Updated 7 years ago
- ☆34Dec 8, 2022Updated 3 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆33Sep 7, 2021Updated 5 years ago
- ICRL 2020☆20Feb 18, 2020Updated 6 years ago
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆48Sep 20, 2023Updated 3 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Apr 1, 2022Updated 4 years ago
- Randomized Value Functions via Multiplicative Normalizing Flows☆18Jan 1, 2023Updated 3 years ago
- TD-Regularized Actor-Critic Methods☆37Dec 26, 2019Updated 6 years ago
- ☆55Feb 28, 2024Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55May 15, 2019Updated 7 years ago
- Code for ICLR 2022 Paper (HyperDQN: A Randomized Exploration Method for Deep Reinforcement Learning)☆12Nov 28, 2023Updated 2 years ago
- ☆64Oct 16, 2020Updated 6 years ago
- Reinforcement Learning Seminar at the Chinese University of Hong Kong, Shenzhen, China.☆21Nov 17, 2023Updated 2 years ago
- Ranking Policy Gradient☆23Nov 27, 2019Updated 6 years ago
- ☆33Jul 30, 2024Updated 2 years ago
- ☆18Jul 25, 2024Updated 2 years ago
- P3O paper code☆30Aug 7, 2019Updated 7 years ago
- A library of probabilistic model based RL algorithms in pytorch☆106Apr 14, 2021Updated 5 years ago
- 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.
- JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"☆43Jun 14, 2021Updated 5 years ago
- Mirror Descent Policy Optimization☆43Oct 31, 2020Updated 6 years ago
- Code for the paper Novelty Search in Representational Space for Sample Efficient Exploration presented at NeurIPS 2020.☆14Jul 16, 2024Updated 2 years ago
- PlaNet: Learning Latent Dynamics for Planning from Pixels☆10Feb 13, 2020Updated 6 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆81Jul 23, 2019Updated 7 years ago
- Explore and Control with Adversarial Surprise☆10Jul 20, 2021Updated 5 years ago
- A code implementation for our arXiv paper "Multi-agent Adhoc Team Play using Decompositional Q function"☆131Aug 14, 2023Updated 3 years ago