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
- A PyTorch toolkit with 8 popular deep active learning query methods implemented.☆94Sep 14, 2021Updated 5 years ago
- ☆21Updated this week
- 🚀 A fast safe reinforcement learning library in PyTorch☆261Sep 30, 2024Updated 2 years ago
- ☆81Oct 19, 2023Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Official Github Repository for "Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints". (NeurIPS 2023)☆21Nov 30, 2025Updated 10 months ago
- ☆77Jul 6, 2025Updated last year
- Code for the paper "AlwaysSafe: Reinforcement Learning Without Safety Constraint Violations During Training"☆17May 9, 2022Updated 4 years ago
- The Mighty cRL library you've been looking for!☆61Aug 1, 2026Updated 2 months ago
- 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…☆29Oct 29, 2023Updated 2 years ago
- Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.☆66Jul 31, 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
- Constrained Policy Optimization implementation on Safety Gym☆30Jan 8, 2022Updated 4 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.
- Code accompanying the paper "Off-Policy Primal-Dual Safe Reinforcement Learning"☆23Mar 29, 2024Updated 2 years ago
- Informative Path Planning for Active Learning in Aerial Semantic Mapping☆39Feb 17, 2023Updated 3 years ago
- Full-stack robot learning for the SO-101 arm: teleoperation, imitation learning, and RL in MuJoCo.☆47Updated this week
- ☆92Jan 27, 2026Updated 8 months ago
- Safe Model-Based RL HVAC Control Using Epistemic Uncertainty Estimation.☆13Feb 25, 2025Updated last year
- The repository is for safe reinforcement learning baselines.☆813Mar 13, 2026Updated 6 months ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆462Apr 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
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆42Aug 27, 2022Updated 4 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆14Aug 25, 2023Updated 3 years ago
- Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning☆15Apr 25, 2024Updated 2 years ago
- ☆13Feb 13, 2024Updated 2 years ago
- ☆12Feb 22, 2024Updated 2 years ago
- Robust Multi-Agent Reinforcement Learning with State Uncertainty☆12May 30, 2023Updated 3 years ago
- The implementation of Scalable Safe Multi-Agent Reinforcement Learning for Multi-Agent System.☆11Sep 8, 2025Updated last year
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆41Jan 16, 2023Updated 3 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆52Apr 8, 2022Updated 4 years ago
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆46Dec 10, 2024Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆12Jun 22, 2024Updated 2 years ago
- Multi-Critic Policy Gradient Optimization for Quadcopter Coordination☆14Aug 10, 2021Updated 5 years ago
- ☆13Jan 25, 2023Updated 3 years ago
- This repository contains code examples for the paper "Learning to sequence and blend robotics skills via differentiable optimization".☆14Sep 11, 2022Updated 4 years ago
- Deep Learning (FS 2020)☆17Oct 10, 2022Updated 4 years ago
- The Easiest Pytorch Implementation of Branching-DQN☆12Feb 10, 2021Updated 5 years ago
- Source code of the SHADE with Iterative Local Search, an algorithm specially designed for for real-parameter optimization with high dimen…☆24Mar 31, 2020Updated 6 years ago