Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)
☆46Dec 10, 2024Updated last year
Alternatives and similar repositories for safe-rl-robustness
Users that are interested in safe-rl-robustness are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆132Nov 12, 2025Updated 6 months ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆80May 21, 2023Updated 3 years ago
- [NeurIPS 2020, Spotlight] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"☆143Nov 16, 2021Updated 4 years ago
- Robust and safe deep reinforcement learning algorithms☆17Mar 27, 2024Updated 2 years ago
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning☆28Sep 13, 2023Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- 🚀 A fast safe reinforcement learning library in PyTorch☆248Sep 30, 2024Updated last year
- [NeurIPS 2020 Spotlight] State-adversarial PPO for robust deep reinforcement learning☆31Nov 18, 2021Updated 4 years ago
- Code for L4DC 2022 paper: Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning.☆15Jul 31, 2023Updated 2 years ago
- The repository is for safe reinforcement learning baselines.☆793Mar 13, 2026Updated 2 months ago
- ☆20May 1, 2024Updated 2 years ago
- [TMLR 2025] A collection of research papers on constraint inference within the field of RL☆11May 9, 2025Updated last year
- Official implementation of the paper: Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate☆25Dec 4, 2023Updated 2 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆70Jul 7, 2023Updated 2 years ago
- Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework☆70Jan 26, 2021Updated 5 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆14Aug 25, 2023Updated 2 years ago
- Implementations of safe reinforcement learning algorithms☆29Mar 1, 2024Updated 2 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆51Apr 8, 2022Updated 4 years ago
- Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.☆42Jul 28, 2022Updated 3 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆48Apr 14, 2019Updated 7 years ago
- This algorithm consists of a power simulator for photovoltaic panels and a wind turbine. This simulator was developed using mathematical…☆16Oct 21, 2021Updated 4 years ago
- ☆77Oct 19, 2023Updated 2 years ago
- Feasibility Consistent Representation Learning for Safe Reinforcement Learning (ICML 2024). Current SOTA model-free safe RL algorithm on …☆16Jul 12, 2024Updated last year
- Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]☆75Jun 2, 2019Updated 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.
- Official code for "SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning" (ICML 2023)☆32Dec 21, 2023Updated 2 years ago
- Repo for Implicit Diffusion Q-Learning☆124Dec 5, 2023Updated 2 years ago
- ☆34Oct 16, 2021Updated 4 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆65Mar 24, 2023Updated 3 years ago
- 🤖 Elegant implementations of offline safe RL algorithms in PyTorch☆242Sep 13, 2024Updated last year
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆463Apr 2, 2023Updated 3 years ago
- [NeurIPS 2022] Code for Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments☆12Sep 28, 2022Updated 3 years ago
- ☆20Nov 3, 2024Updated last year
- [UR 2023] Robust Route Planning with Distributional Reinforcement Learning in a Stochastic Road Network Environment☆22Jun 19, 2024Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- [NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning☆35Feb 22, 2021Updated 5 years ago
- SNN Cutoff Evaluation.☆17Aug 14, 2024Updated last year
- ☆19Jun 15, 2023Updated 2 years ago
- ☆51Aug 7, 2024Updated last year
- NeurIPS2022: Constrained Update Projection Approach to Safe Policy Optimization☆13Apr 10, 2023Updated 3 years ago
- NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms☆409Mar 20, 2024Updated 2 years ago
- ☆29Jun 6, 2024Updated last year