Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]
☆53Oct 18, 2021Updated 4 years ago
Alternatives and similar repositories for PLAS
Users that are interested in PLAS are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for NeurIPS 2022 paper "Robust offline Reinforcement Learning via Conservative Smoothing"☆24Feb 15, 2023Updated 3 years ago
- Author's PyTorch implementation of paper "Provably Good Batch Reinforcement Learning Without Great Exploration"☆11Oct 22, 2020Updated 5 years ago
- Code for☆15Oct 16, 2020Updated 5 years ago
- The official implementation of "When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning" (ICLR2023)☆44Mar 6, 2023Updated 3 years ago
- Code release for "Supported Policy Optimization for Offline Reinforcement Learning" (NeurIPS 2022), https://arxiv.org/abs/2202.06239☆22Jun 24, 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.
- Benchmarked implementations of Offline RL Algorithms.☆77Mar 4, 2025Updated last year
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆660Apr 6, 2021Updated 4 years ago
- ☆203Mar 25, 2023Updated 3 years ago
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆35Jan 5, 2023Updated 3 years ago
- ☆12Apr 25, 2022Updated 3 years ago
- Advantage weighted Actor Critic for Offline RL☆53Aug 27, 2022Updated 3 years ago
- ☆19Jun 25, 2023Updated 2 years ago
- Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)☆61Apr 29, 2024Updated last year
- [NeurIPS 2024] Doubly Mild Generalization for Offline Reinforcement Learning☆16Oct 29, 2025Updated 4 months ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- ☆26Jun 14, 2022Updated 3 years ago
- Official Codebase for Offline Reinforcement Learning from Images with Latent Space Models☆30Apr 30, 2021Updated 4 years ago
- Conservative Q learning in Jax☆57Feb 7, 2023Updated 3 years ago
- Code accompanying the paper Adversarially Trained Actor Critic for Offline Reinforcement Learning by Ching-An Cheng*, Tengyang Xie*, Nan …☆72Feb 2, 2023Updated 3 years ago
- Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)☆80Aug 14, 2022Updated 3 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆190May 17, 2022Updated 3 years ago
- Conservative Q Learning on top of SAC☆138Oct 15, 2022Updated 3 years ago
- [ICLR 2023 Oral] The official implementation of SQL and EQL in "Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Reg…☆46Jul 27, 2023Updated 2 years ago
- Anti exploration in offline reinforcement learning☆11May 17, 2021Updated 4 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.
- Implementation for "ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning", CoRL 2020☆16Jun 22, 2022Updated 3 years ago
- On Simple Reactive Neural Networks for Behaviour-Based Reinforcement Learning by Ameya Pore and Gerardo Aragon-Camarasa☆10Jan 28, 2020Updated 6 years ago
- Code for the paper Normalizing Flows are Capable Models for RL☆19Jun 3, 2025Updated 9 months ago
- Exploring algorithms in the domain of offline reinforcement learning (REM, Ensemble-DQN, DQN, ...)☆17Jul 7, 2020Updated 5 years ago
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆94Dec 1, 2024Updated last year
- Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)☆18Apr 21, 2022Updated 3 years ago
- A collection of reference environments for offline reinforcement learning☆1,663Nov 18, 2024Updated last year
- ☆42May 11, 2022Updated 3 years ago
- ☆18Apr 8, 2020Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- An offline deep reinforcement learning library☆1,648Sep 10, 2025Updated 6 months ago
- The implementation of Discriminator Soft Actor Critic☆15Jan 25, 2020Updated 6 years ago
- Official implementation of "Accelerating Reinforcement Learning with Learned Skill Priors", Pertsch et al., CoRL 2020☆222Jun 5, 2023Updated 2 years ago
- A python package for loading robotics datasets which were recorded on the TriFinger platform. Also contains simulated gym environments th…☆17Jan 17, 2024Updated 2 years ago
- ☆60Feb 3, 2023Updated 3 years ago
- ☆26Dec 1, 2020Updated 5 years ago
- Official implementation of NeurIPS'23 paper, Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets☆26Jan 29, 2024Updated 2 years ago