A PyTorch implementation of "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"
☆45Mar 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"☆67Aug 3, 2023Updated 2 years ago
- ☆75Jul 6, 2025Updated 9 months ago
- Official Github Repository for "Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints". (NeurIPS 2023)☆20Nov 30, 2025Updated 5 months ago
- 🚀 A fast safe reinforcement learning library in PyTorch☆248Sep 30, 2024Updated last year
- ☆77Oct 19, 2023Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Code for the paper "AlwaysSafe: Reinforcement Learning Without Safety Constraint Violations During Training"☆17May 9, 2022Updated 3 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆80May 21, 2023Updated 2 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.☆42Jul 28, 2022Updated 3 years ago
- Implementation of PPO Lagrangian in PyTorch☆55Aug 29, 2022Updated 3 years ago
- Constrained Policy Optimization implementation on Safety Gym☆30Jan 8, 2022Updated 4 years ago
- 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
- ☆12Aug 4, 2023Updated 2 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.
- Code accompanying the paper "Off-Policy Primal-Dual Safe Reinforcement Learning"☆22Mar 29, 2024Updated 2 years ago
- The repository is for safe reinforcement learning baselines.☆792Mar 13, 2026Updated last month
- 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.☆463Apr 2, 2023Updated 3 years ago
- Official Code for the L4DC 2023 conference paper and ICLR 2023 NeSy-GeMs workshop paper.☆15Oct 17, 2023Updated 2 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
- 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 set of algorithms and environments to train SafeRL agents, written in TensorFlow2 and OpenAI Gym.☆12Jul 26, 2022Updated 3 years ago
- 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 2 years ago
- ☆12Feb 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
- ☆13Jan 25, 2023Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- 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 3 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
- ☆10May 23, 2022Updated 3 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