Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"
☆67Aug 3, 2023Updated 2 years ago
Alternatives and similar repositories for WCSAC
Users that are interested in WCSAC 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 PyTorch implementation of "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆44Mar 1, 2023Updated 3 years ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆464Apr 2, 2023Updated 3 years ago
- Official Github Repository for "Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints". (NeurIPS 2023)☆21Nov 30, 2025Updated 7 months ago
- ☆80Oct 19, 2023Updated 2 years ago
- Apply safe RL methods from safety-starter-agents in highway-env☆14Jun 28, 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.
- Code for L4DC 2022 paper: Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning.☆15Jul 31, 2023Updated 2 years ago
- Constrained Policy Optimization implementation on Safety Gym☆30Jan 8, 2022Updated 4 years ago
- The repository is for safe reinforcement learning baselines.☆810Mar 13, 2026Updated 4 months ago
- Implementation of PPO Lagrangian in PyTorch☆56Aug 29, 2022Updated 3 years ago
- Code accompanying the paper "Off-Policy Primal-Dual Safe Reinforcement Learning"☆22Mar 29, 2024Updated 2 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆70Jul 7, 2023Updated 3 years ago
- Model-Free Safe Reinforcement Learning through Neural Barrier Certificate☆47May 6, 2024Updated 2 years ago
- Applying Constrained Policy Networks on Highway Environment☆47Jan 11, 2022Updated 4 years ago
- JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.☆1,141Mar 17, 2025Updated last year
- 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.
- This repository has code for the paper "Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algor…☆32Jul 27, 2023Updated 2 years ago
- Official Github Repository for "Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees". (NeurIPS 2024)☆11Nov 30, 2025Updated 7 months ago
- Robust Multi-Agent Reinforcement Learning with State Uncertainty☆12May 30, 2023Updated 3 years ago
- Robust and safe deep reinforcement learning algorithms☆17Mar 27, 2024Updated 2 years ago
- [ICLR 2025] Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning (SASR)☆12Aug 26, 2025Updated 10 months ago
- Code for IEEE transactions on neural networks and learning system☆13Jun 18, 2021Updated 5 years ago
- ☆163May 3, 2019Updated 7 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Jul 18, 2023Updated 3 years ago
- Constrained Policy Optimization☆336Jun 7, 2017Updated 9 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- [ICLR 2024] The official implementation of "Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model"☆128Feb 11, 2025Updated last year
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆65Mar 24, 2023Updated 3 years ago
- A study code for HEVs eco-driving control☆21Jan 14, 2023Updated 3 years ago
- Code for the NeurIPS 2023 Paper: Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Sta…☆29Oct 29, 2023Updated 2 years ago
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆63Jul 11, 2022Updated 4 years ago
- 🚀 A fast safe reinforcement learning library in PyTorch☆253Sep 30, 2024Updated last year
- "Adaptive Cruise Control for a Hybrid Vehicle with Deep Policy Gradients". Final project for ECE 517/414 Reinforcement Learning.☆13Dec 8, 2021Updated 4 years ago
- Predicting for Customers, whether they will buy car insurance or not.☆11Jan 29, 2021Updated 5 years ago
- RL for Energy Management of Microgrids☆11Mar 28, 2020Updated 6 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.
- ☆16May 17, 2024Updated 2 years ago
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆46Dec 10, 2024Updated last year
- SUMO Simulation source code of the study - A Study of Applying Eco-Driving Speed Advisory on Transit Signal Priority☆17Feb 21, 2023Updated 3 years ago
- This repository contains the code to train the baseline agent provided in the 2022 edition of Learning to Run a Power Network and to recr…☆15Aug 2, 2022Updated 3 years ago
- Deep Reinforcement Learning framework that uses GNN to solve planning tasks for infrastructural assets☆17Jan 15, 2022Updated 4 years ago
- Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.☆63Jul 31, 2023Updated 2 years ago
- Website for the ECC 2022 paper titled "Learning Eco-Driving Strategies at Signalized Intersections"☆13May 30, 2023Updated 3 years ago