SvenGronauer / Bullet-Safety-GymLinks
An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.
β68Updated 2 years ago
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:
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.β66Updated last year
- π₯ Datasets and env wrappers for offline safe reinforcement learningβ107Updated last year
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"β48Updated 3 years ago
- Implementations of safe reinforcement learning algorithmsβ29Updated last year
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.β173Updated last year
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPOβ180Updated 3 years ago
- β77Updated 2 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Methodβ67Updated 2 years ago
- Implementations of SAILR, PDO, and CSCβ31Updated last year
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.β78Updated 2 years ago
- Pytorch Implementation for First Order Constrained Optimization in Policy Space (FOCOPS).β29Updated 3 years ago
- Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020β45Updated 2 years ago
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learningβ27Updated 2 years ago
- Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.β59Updated 2 years ago
- Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022β30Updated 2 years ago
- Author's PyTorch implementation of TD7 for online and offline RLβ153Updated 2 years ago
- β57Updated 2 years ago
- π A fast safe reinforcement learning library in PyTorchβ223Updated last year
- This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmarβ¦β144Updated 2 years ago
- behavior cloning from observationβ36Updated 4 years ago
- π€ Elegant implementations of offline safe RL algorithms in PyTorchβ219Updated last year
- Official implementation of the paper `Augmenting GAIL with BC for sample efficient imitation learning` in PyTorchβ34Updated 4 years ago
- Distributional Soft Actor Criticβ59Updated 5 years ago
- Safe Multi-Agent Robosuite benchmark for safe multi-agent reinforcement learning research.β24Updated last year
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918β¦β48Updated 6 years ago
- RL Algorithms for Visual Continuous Controlβ35Updated 2 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016β139Updated last year
- Code for the paper: Hierarchical Reinforcement Learning With Timed Subgoals, published at NeurIPS 2021β35Updated 3 years ago
- β40Updated 4 years ago
- We investigate the effect of populations on finding good solutions to the robust MDPβ28Updated 4 years ago