SvenGronauer / Bullet-Safety-Gym
An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.
☆68Updated last year
Alternatives and similar repositories for Bullet-Safety-Gym
Users that are interested in Bullet-Safety-Gym are comparing it to the libraries listed below
Sorting:
- Implementations of safe reinforcement learning algorithms☆27Updated last year
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆62Updated 11 months ago
- ☆72Updated last year
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆44Updated 3 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆54Updated last year
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆91Updated 8 months ago
- Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.☆57Updated last year
- behavior cloning from observation☆34Updated 4 years ago
- Implementations of SAILR, PDO, and CSC☆32Updated 10 months ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆54Updated 2 years ago
- Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022☆27Updated last year
- ☆55Updated 2 years ago
- Pytorch Implementation for First Order Constrained Optimization in Policy Space (FOCOPS).☆26Updated 3 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- MATE: the Multi-Agent Tracking Environment.☆44Updated 2 years ago
- curriculum☆24Updated 2 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆75Updated last year
- This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmar…☆126Updated 2 years ago
- Pytorch implementation of Multi-Agent Generative Adversarial Imitation Learning☆40Updated 3 years ago
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆34Updated 2 years ago
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆85Updated 2 years ago
- Distributional Soft Actor Critic☆53Updated 4 years ago
- Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…☆74Updated 2 years ago
- Deep Implicit Coordination Graphs☆41Updated 11 months ago
- The implementation of ICLR-2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆41Updated 6 months ago
- An implementation of Constrained Policy Optimization (Achiam 2017) in PyTorch☆24Updated 5 years ago
- Simple maze environments using mujoco-py☆54Updated last year
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning☆24Updated last year
- Code accompanying HAAR paper, NeurIPS 2019 - Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards☆31Updated 2 years ago