☆43Sep 19, 2021Updated 4 years ago
Alternatives and similar repositories for onestep-rl
Users that are interested in onestep-rl are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆29Feb 21, 2022Updated 4 years ago
- Code for NeurIPS 2022 paper "Robust offline Reinforcement Learning via Conservative Smoothing"☆23Feb 15, 2023Updated 3 years ago
- Anti exploration in offline reinforcement learning☆11May 17, 2021Updated 5 years ago
- ☆31Jan 16, 2023Updated 3 years ago
- This repository accompanies the following paper: A Workflow for Offline Model-Free Robotic RL☆13Nov 5, 2021Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Code for conservative Q-learning☆487Dec 7, 2021Updated 4 years ago
- ☆20Jun 25, 2023Updated 3 years ago
- ☆15Jul 4, 2022Updated 4 years ago
- Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)☆62Apr 29, 2024Updated 2 years ago
- Official implementation of Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Reweighting☆16Feb 14, 2024Updated 2 years ago
- ☆12Apr 25, 2022Updated 4 years ago
- ☆334Jan 23, 2022Updated 4 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆666Apr 6, 2021Updated 5 years ago
- ☆61Feb 3, 2023Updated 3 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆147May 6, 2024Updated 2 years ago
- Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)☆80Aug 14, 2022Updated 4 years ago
- ☆26Jun 14, 2022Updated 4 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆411Dec 18, 2021Updated 4 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆170Sep 12, 2023Updated 2 years ago
- Offline RL experiments☆15Oct 1, 2022Updated 3 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆95Dec 13, 2023Updated 2 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆163Jul 17, 2020Updated 6 years ago
- Official repository for Paper "Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression" (NeurIPS 2022)☆39Oct 19, 2023Updated 2 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.
- ☆58Jan 20, 2023Updated 3 years ago
- A collection of offline reinforcement learning algorithms.☆211Nov 26, 2024Updated last year
- Model-Based Offline Reinforcement Learning☆51Jan 13, 2021Updated 5 years ago
- Unofficial PyTorch implementation (replicating paper results) of Implicit Q-Learning (In-sample Q-Learning) for offline RL☆24Nov 4, 2024Updated last year
- A lightweight reimplementation of Adversarially Trained Actor Critic☆19Mar 19, 2026Updated 5 months ago
- Advantage weighted Actor Critic for Offline RL☆53Aug 27, 2022Updated 3 years ago
- ☆26Jan 2, 2019Updated 7 years ago
- ☆31Oct 3, 2023Updated 2 years ago
- [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"☆58Apr 6, 2023Updated 3 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- ☆26Feb 21, 2022Updated 4 years ago
- A PyTorch implementation of Implicit Q-Learning☆100Oct 23, 2021Updated 4 years ago
- The repo for Shen Group's FMAB repo☆11Jan 21, 2021Updated 5 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆191May 17, 2022Updated 4 years ago
- ☆19Jul 18, 2021Updated 5 years ago
- Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D…☆17Nov 8, 2024Updated last year
- Solving reinforcement learning tasks which require language and vision☆33Apr 4, 2023Updated 3 years ago