Re-implementations of SOTA RL algorithms.
☆137Sep 7, 2023Updated 2 years ago
Alternatives and similar repositories for unstable_baselines
Users that are interested in unstable_baselines are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A python module designed for agile RL algorithm developing.☆26Jul 11, 2024Updated 2 years ago
- ☆12May 14, 2024Updated 2 years ago
- ☆30Mar 1, 2022Updated 4 years ago
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆27Mar 19, 2026Updated 4 months ago
- model based reinforcement learning algorithms for unstable baselines☆15May 9, 2023Updated 3 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- The Official Code for Offline Model-based Adaptable Policy Learning (NeurIPS'21 & TPAMI)☆25Jan 16, 2024Updated 2 years ago
- A beamer template for LAMDA lab at NJU☆16Oct 17, 2020Updated 5 years ago
- Benchmarked implementations of Offline RL Algorithms.☆77Mar 4, 2025Updated last year
- RLA is a tool for managing your RL experiments automatically☆71Feb 7, 2023Updated 3 years ago
- Code for FOCAL Paper Published at ICLR 2021☆55Dec 4, 2023Updated 2 years ago
- Meta RL codebase for Unstable Baselines☆22Dec 6, 2022Updated 3 years ago
- Code for Adapting Environment Sudden Changes by Learning Context Sensitive Policy☆21Jun 1, 2022Updated 4 years ago
- Unofficial Code for NeurIPS 2021 paper "Regret Minimization Experience Replay in Off-policy Reinforcement Learning"☆14May 24, 2021Updated 5 years ago
- A repo containing bash scripts to deploy reinforcement learning dev environment within one click!☆12Jun 28, 2026Updated last month
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- D3PE (Deep Data-Driven Policy Evaluation) aims to evaluation a large set of candidate policies from a fixed dataset to select best ones.☆10Jun 2, 2022Updated 4 years ago
- Toolkit of Causal Model-based Reinforcement Learning.☆33Jun 5, 2023Updated 3 years ago
- ☆15Sep 14, 2020Updated 5 years ago
- re-implementation of the offline model-based RL algorithm MOPO in pytorch☆26Feb 28, 2022Updated 4 years ago
- Format your bibtex (.bib) file to help standardize citations for conference and journal submissions☆14Nov 23, 2025Updated 8 months ago
- ☆19Dec 23, 2025Updated 7 months ago
- Benchmark data for d3rlpy☆22Nov 28, 2023Updated 2 years ago
- Official implementation of NeurIPS22 paper “Multi-agent Dynamic Algorithm Configuration”☆26Mar 6, 2023Updated 3 years ago
- ☆16Oct 5, 2021Updated 4 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.
- An elegant PyTorch offline reinforcement learning library for researchers.☆393Updated this week
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆189Apr 12, 2022Updated 4 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆191May 17, 2022Updated 4 years ago
- clear single-file JAX implementations of common RL algorithms☆15Sep 5, 2021Updated 4 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆559Nov 22, 2022Updated 3 years ago
- The official implementation of "Mind the Gap: Offline Policy Optimization for Imperfect Rewards" (ICLR2023)☆15Mar 3, 2023Updated 3 years ago
- ☆19Apr 22, 2024Updated 2 years ago
- Theory of Reinforcement Learning☆18Apr 20, 2021Updated 5 years ago
- Model-based Offline Policy Optimization re-implement all by pytorch☆43Sep 13, 2023Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- The implementation of IJCAI'22 paper "Multi-Agent Concentrative Coordination with Decentralized Task Representation".☆18May 1, 2022Updated 4 years ago
- 基于树莓派(Pi)和PyGame的魔镜(Mirror)☆18Aug 5, 2022Updated 4 years ago
- ☆30Dec 22, 2022Updated 3 years ago
- 🤖 Elegant implementations of offline safe RL algorithms in PyTorch☆249Sep 13, 2024Updated last year
- ☆15Apr 5, 2023Updated 3 years ago
- ☆10Jun 27, 2024Updated 2 years ago
- Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D…☆18Nov 8, 2024Updated last year