Code accompanying the paper "Off-Policy Primal-Dual Safe Reinforcement Learning"
☆23Mar 29, 2024Updated 2 years ago
Alternatives and similar repositories for CAL
Users that are interested in CAL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Robust and safe deep reinforcement learning algorithms☆17Mar 27, 2024Updated 2 years ago
- NeurlPS'23 Instructing Goal-Conditioned Agents with LTL Objectives☆26Jan 5, 2024Updated 2 years ago
- ☆23Jul 4, 2023Updated 3 years ago
- This is the source code of FUSION, a safety-aware causal representation for generalizable driving agents.☆29Oct 23, 2024Updated last year
- Code accompanying paper "Coordinated Proximal Policy Optimization"☆10Mar 26, 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.
- CityLearn Challenge Multi-Agent Reinforcement Learning for Intelligent Energy Management, 2020, PikaPika team☆28Oct 22, 2021Updated 4 years ago
- Safety-aware MPC-based RL framework☆76Nov 18, 2024Updated last year
- This is the code of CoCo-MILP: Inter-Variable Contrastive and Intra-Constraint Competitive MILP Solution Prediction. AAAI 2026 Oral.☆16May 13, 2026Updated 5 months ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆68Aug 3, 2023Updated 3 years ago
- Benchmarking general decision-making with open & random worlds☆24Sep 4, 2026Updated last month
- 🤖 Elegant implementations of offline safe RL algorithms in PyTorch☆256Sep 13, 2024Updated 2 years ago
- [ICLR 2025] Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning (SASR)☆12Aug 26, 2025Updated last year
- The official implementation of DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL (ICLR'25 Oral)☆19Mar 30, 2025Updated last year
- Representation Learning (RepL) Methods in Reinforcement Learning and Causal Inference☆32Nov 24, 2025Updated 10 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Code for experiments in 'Primal Dual Formulation For Deep Learning With Constraints'☆23Oct 26, 2019Updated 6 years ago
- ☆13Aug 26, 2024Updated 2 years ago
- Official implementation of NeurIPS'23 paper, Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets☆25Jan 29, 2024Updated 2 years ago
- 🚀 A fast safe reinforcement learning library in PyTorch☆263Sep 30, 2024Updated 2 years ago
- Source code for UQnet☆16May 23, 2024Updated 2 years ago
- ☆81Oct 19, 2023Updated 2 years ago
- Multi-Agent Reinforcement Learning approach to solve a battery charge scheduling problem, in a decentralized scenario.☆17Feb 6, 2021Updated 5 years ago
- The repository is for safe reinforcement learning baselines.☆814Mar 13, 2026Updated 7 months ago
- ICLR 2024: SafeDreamer: Safe Reinforcement Learning with World Models☆113Apr 8, 2024Updated 2 years ago
- 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.
- Official Repository for "Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing" (ICML2021)☆10Oct 26, 2021Updated 4 years ago
- The implementation of our NeurIPS 2024 paper "DarkSAM: Fooling Segment Anything Model to Segment Nothing".☆15Nov 4, 2024Updated last year
- Benchmark result of different RL algorithms on MetaDrive environments, including Multi-agent RL (IPPO, centralized critics, CoPO).☆16Oct 25, 2022Updated 3 years ago
- Code for the paper "Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation" by Alexander Levine and Soheil Feizi.☆10Aug 22, 2022Updated 4 years ago
- Safe SLAC, an algorithm for safe cost-constrained reinforcement learning in high-dimensional POMDPs.☆13Mar 1, 2023Updated 3 years ago
- Code accompanying "Value Functions are Control Barrier Functions: Verification of Safe Policies using Control Theory"☆33Mar 14, 2024Updated 2 years ago
- ☆77Jul 6, 2025Updated last year
- [ICLR 2024] The official implementation of "Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model"☆132Feb 11, 2025Updated last year
- ☆15Oct 5, 2023Updated 3 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.
- Executive control code for STRANDS robots.☆11Feb 13, 2020Updated 6 years ago
- A benchmark for evaluating reinforcement learning algorithms that train the policies using imaginary rollouts from LLMs.☆16Nov 4, 2025Updated 11 months ago
- NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark☆588Jul 21, 2026Updated 2 months ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆52Apr 8, 2022Updated 4 years ago
- Datasets used in the paper "Reward hacking behavior can generalize across tasks"☆16Aug 17, 2025Updated last year
- ☆12Mar 17, 2024Updated 2 years ago
- ☆11Oct 2, 2020Updated 6 years ago