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"☆68Aug 3, 2023Updated 3 years ago
- Code accompanying the paper "Off-Policy Primal-Dual Safe Reinforcement Learning"☆23Mar 29, 2024Updated 2 years ago
- Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.☆20May 22, 2022Updated 4 years ago
- DiWA: Diffusion Policy Adaptation with World Models☆88Aug 13, 2026Updated 2 months ago
- ☆77Jul 6, 2025Updated last year
- 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.
- 🚀 A fast safe reinforcement learning library in PyTorch☆265Sep 30, 2024Updated 2 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆82May 21, 2023Updated 3 years ago
- Code for Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning, AAAI 2025☆15Dec 19, 2024Updated last year
- Robust and safe deep reinforcement learning algorithms☆17Mar 27, 2024Updated 2 years ago
- Official Github Repository for "Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints". (NeurIPS 2023)☆21Nov 30, 2025Updated 11 months ago
- Code for the paper "AlwaysSafe: Reinforcement Learning Without Safety Constraint Violations During Training"☆17May 9, 2022Updated 4 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆52Apr 8, 2022Updated 4 years ago
- JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.☆1,159Mar 17, 2025Updated last year
- Code for the NeurIPS 2023 Paper: Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Sta…☆29Oct 29, 2023Updated 3 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.
- Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.☆66Jul 31, 2023Updated 3 years ago
- Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.☆45Jul 28, 2022Updated 4 years ago
- Implementation of PPO Lagrangian in PyTorch☆56Aug 29, 2022Updated 4 years ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆463Apr 2, 2023Updated 3 years ago
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆25Apr 7, 2021Updated 5 years ago
- Implementation of some of the Deep Distributional Reinforcement Learning Algorithms.☆27Jun 17, 2025Updated last year
- The repository is for safe reinforcement learning baselines.☆814Mar 13, 2026Updated 7 months ago
- Informative Path Planning for Active Learning in Aerial Semantic Mapping☆39Feb 17, 2023Updated 3 years ago
- MessySMAC - A Modified StarCraft MultiAgent Challenge with Configurable State Uncertainty☆12May 1, 2023Updated 3 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.
- LLM Benchmark for O-RAN☆14Jul 10, 2024Updated 2 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆71Jul 7, 2023Updated 3 years ago
- Reinforcement Learning of Optimization-Based Control Policies via Implicit Policy Gradients☆16Nov 11, 2025Updated 11 months ago
- ☆13May 29, 2024Updated 2 years ago
- Robust Multi-Agent Reinforcement Learning with State Uncertainty☆12May 30, 2023Updated 3 years ago
- Official Code for the L4DC 2023 conference paper and ICLR 2023 NeSy-GeMs workshop paper.☆15Oct 17, 2023Updated 3 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆42Aug 27, 2022Updated 4 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆14Aug 25, 2023Updated 3 years ago
- The implementation of Scalable Safe Multi-Agent Reinforcement Learning for Multi-Agent System.☆11Sep 8, 2025Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Safe Model-Based RL HVAC Control Using Epistemic Uncertainty Estimation.☆13Feb 25, 2025Updated last year
- The Easiest Pytorch Implementation of Branching-DQN☆12Feb 10, 2021Updated 5 years ago
- [ACMMM 2025] The official implementation of "DilateQuant: Accurate and Efficient Quantization-Aware Training for Diffusion Models via Wei…☆14Jul 8, 2025Updated last year
- ☆13Jan 1, 2025Updated last year
- Source code of the paper "The Joint Application of Photovoltaic Generation and Distributed or Concentrated Energy Storage Systems in a Lo…☆11Jul 29, 2023Updated 3 years ago
- NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms☆425Mar 20, 2024Updated 2 years ago
- [ICCV'25] T2 -VLM: Training-Free Generation of Temporally Consistent Rewards from VLMs☆15Jul 8, 2025Updated last year