A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing
☆137Aug 29, 2025Updated 8 months ago
Alternatives and similar repositories for oprl
Users that are interested in oprl are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆24Apr 7, 2021Updated 5 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆127Jan 13, 2020Updated 6 years ago
- In Progress : State of the art Distributed Distributional Deep Deterministic Policy Gradient algorithm implementation in pytorch.☆19Jun 15, 2018Updated 7 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆598Dec 5, 2021Updated 4 years ago
- Library for model based RL in robotics☆37Sep 10, 2018Updated 7 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.
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆30Mar 14, 2019Updated 7 years ago
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆154Oct 26, 2020Updated 5 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆296Feb 24, 2021Updated 5 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆256May 3, 2020Updated 6 years ago
- Deep Learning Project☆23Jan 18, 2020Updated 6 years ago
- DrQ-v2: Improved Data-Augmented Reinforcement Learning☆436May 31, 2022Updated 3 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆663Apr 6, 2021Updated 5 years ago
- Tools for accelerating safe exploration research.☆599Apr 2, 2023Updated 3 years ago
- Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL☆29Oct 29, 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.
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆559Jun 26, 2023Updated 2 years ago
- Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning☆22Jan 9, 2020Updated 6 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆544Nov 22, 2022Updated 3 years ago
- Code for conservative Q-learning☆483Dec 7, 2021Updated 4 years ago
- Soft Actor-Critic☆1,260Nov 29, 2023Updated 2 years ago
- CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning☆63May 20, 2020Updated 6 years ago
- Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"☆40Jan 22, 2021Updated 5 years ago
- Graph convolutional memory☆17May 26, 2022Updated 3 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆248Sep 30, 2022Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- A library of probabilistic model based RL algorithms in pytorch☆107Apr 14, 2021Updated 5 years ago
- PyTorch implementation of soft actor critic☆941Jul 17, 2025Updated 10 months ago
- Collection of reinforcement learning algorithms☆2,901Jun 17, 2024Updated last year
- Code for "Dream and Search to Control: Latent Space Planning for Continuous Control"☆12Jul 12, 2021Updated 4 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆107Nov 17, 2020Updated 5 years ago
- ☆11Jul 29, 2021Updated 4 years ago
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆164Dec 21, 2021Updated 4 years ago
- A curated list of awesome memory in reinforcement learning research materials☆24Sep 5, 2021Updated 4 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆131Mar 21, 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.
- ☆203Mar 25, 2023Updated 3 years ago
- on-policy optimization baselines for deep reinforcement learning☆32Apr 3, 2020Updated 6 years ago
- Implicit Normalizing Flows + Reinforcement Learning☆62May 31, 2019Updated 6 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Jul 18, 2025Updated 10 months ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆463Apr 2, 2023Updated 3 years ago
- Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning (NeurIPS 2020)☆39Oct 27, 2020Updated 5 years ago
- ☆399Jul 18, 2019Updated 6 years ago