SvenGronauer / RL-Safety-Algorithms
Implementations of safe reinforcement learning algorithms
☆21Updated 8 months ago
Related projects ⓘ
Alternatives and complementary repositories for RL-Safety-Algorithms
- ☆61Updated last year
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆62Updated last year
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆51Updated 5 months ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆65Updated last year
- Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.☆31Updated 2 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆39Updated 2 years ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆76Updated 2 months ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆51Updated last year
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆73Updated 11 months ago
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆41Updated last year
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning☆23Updated last year
- Implementations of SAILR, PDO, and CSC☆31Updated 4 months ago
- Implementation of PPO Lagrangian in PyTorch☆35Updated 2 years ago
- ☆40Updated last week
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆48Updated last year
- Pytorch implementation of Multi-Agent Generative Adversarial Imitation Learning☆37Updated 2 years ago
- Curricular Subgoal for Inverse Reinforcement Learning☆13Updated last year
- Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.☆52Updated last year
- Deep Implicit Coordination Graphs☆41Updated 5 months ago
- Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)☆26Updated last year
- Code release for the paper "Towards Safe Reinforcement Learning with a Safety Editor Policy", Yu et al., arXiv 2022☆13Updated 10 months ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆41Updated 5 years ago
- MATE: the Multi-Agent Tracking Environment.☆43Updated last year
- [ICLR 2024] The official implementation of "Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model"☆70Updated 2 months ago
- Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)☆26Updated 2 years ago
- Implementation of "MADiff: Offline Multi-agent Learning with Diffusion Models"☆42Updated 3 weeks ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆62Updated last year
- Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.☆16Updated 2 years ago
- Robust and safe deep reinforcement learning algorithms☆10Updated 7 months ago
- PyTorch implementation of Constrained Policy Optimization☆48Updated 3 years ago