A PyTorch implementation of "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"
☆44Mar 1, 2023Updated 3 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:
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆65Aug 3, 2023Updated 2 years ago
- Official Github Repository for "Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints". (NeurIPS 2023)☆20Nov 30, 2025Updated 4 months ago
- 🚀 A fast safe reinforcement learning library in PyTorch☆245Sep 30, 2024Updated last year
- ☆77Oct 19, 2023Updated 2 years ago
- Code for the paper "AlwaysSafe: Reinforcement Learning Without Safety Constraint Violations During Training"☆17May 9, 2022Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- PyTorch implementation of the "Learning an Adaptive Learning Rate Schedule" paper found here: https://arxiv.org/abs/1909.09712.☆12Jan 15, 2020Updated 6 years ago
- Code for the NeurIPS 2023 Paper: Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Sta…☆30Oct 29, 2023Updated 2 years ago
- Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.☆61Jul 31, 2023Updated 2 years ago
- Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.☆41Jul 28, 2022Updated 3 years ago
- Implementation of PPO Lagrangian in PyTorch☆55Aug 29, 2022Updated 3 years ago
- Constrained Policy Optimization implementation on Safety Gym☆29Jan 8, 2022Updated 4 years ago
- JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.☆1,099Mar 17, 2025Updated last year
- Code accompanying the paper "Off-Policy Primal-Dual Safe Reinforcement Learning"☆21Mar 29, 2024Updated 2 years ago
- Informative Path Planning for Active Learning in Aerial Semantic Mapping☆38Feb 17, 2023Updated 3 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 Mighty cRL library you've been looking for!☆58Apr 2, 2026Updated last week
- The repository is for safe reinforcement learning baselines.☆786Mar 13, 2026Updated 3 weeks ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆70Jul 7, 2023Updated 2 years ago
- Safe Model-Based RL HVAC Control Using Epistemic Uncertainty Estimation.☆12Feb 25, 2025Updated last year
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆461Apr 2, 2023Updated 3 years ago
- Very Short Term Load Forecasting☆14Nov 1, 2011Updated 14 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆42Aug 27, 2022Updated 3 years ago
- ☆11Mar 5, 2024Updated 2 years ago
- A set of algorithms and environments to train SafeRL agents, written in TensorFlow2 and OpenAI Gym.☆12Jul 26, 2022Updated 3 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- A modern implementation of MADDPG and MADDPG-Approx algorithms using PyTorch and PettingZoo environments. This project provides a clean, …☆18Mar 16, 2025Updated last year
- Runge-Kutta ODE Integrator Implemented in Cython and Numba☆19Mar 11, 2026Updated last month
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆14Aug 25, 2023Updated 2 years ago
- ☆12Feb 13, 2024Updated 2 years ago
- Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning☆15Apr 25, 2024Updated last year
- ☆11Feb 22, 2024Updated 2 years ago
- The implementation of Scalable Safe Multi-Agent Reinforcement Learning for Multi-Agent System.☆11Sep 8, 2025Updated 7 months ago
- Robust Multi-Agent Reinforcement Learning with State Uncertainty☆12May 30, 2023Updated 2 years ago
- This repository contains code examples for the paper "Learning to sequence and blend robotics skills via differentiable optimization".☆12Sep 11, 2022Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- Multi-Critic Policy Gradient Optimization for Quadcopter Coordination☆14Aug 10, 2021Updated 4 years ago
- Benchmarking of Neural Network Architectures in Reinforcement Learning.☆38Jan 22, 2026Updated 2 months ago
- ☆13Jun 22, 2024Updated last year
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆38Jan 16, 2023Updated 3 years ago
- The Easiest Pytorch Implementation of Branching-DQN☆12Feb 10, 2021Updated 5 years ago
- Deep Learning (FS 2020)☆17Oct 10, 2022Updated 3 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆52Apr 8, 2022Updated 4 years ago