Repo for Implicit Diffusion Q-Learning
☆126Dec 5, 2023Updated 2 years ago
Alternatives and similar repositories for IDQL
Users that are interested in IDQL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [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
- Codes accompanying the paper "Score Regularized Policy Optimization through Diffusion Behavior" (ICLR 2024).☆48Feb 10, 2024Updated 2 years ago
- Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction (ICML 2023)☆55Aug 26, 2023Updated 2 years ago
- [ICLR 2024] The official implementation of "Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model"☆128Feb 11, 2025Updated last year
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆98Dec 1, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆17May 25, 2023Updated 3 years ago
- [NeurIPS 2023] Efficient Diffusion Policy☆113Oct 31, 2023Updated 2 years ago
- ☆58Jan 20, 2023Updated 3 years ago
- [AAMAS'26] xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory Editing☆26Jan 8, 2026Updated 6 months ago
- Extreme Q-Learning: Max Entropy RL without Entropy☆88Feb 14, 2023Updated 3 years ago
- ☆431Apr 29, 2024Updated 2 years ago
- Conservative Q learning in Jax☆58Feb 7, 2023Updated 3 years ago
- ☆330Jan 23, 2022Updated 4 years ago
- ☆409Feb 13, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Unofficial PyTorch implementation (replicating paper results) of Implicit Q-Learning (In-sample Q-Learning) for offline RL☆24Nov 4, 2024Updated last year
- ☆371May 1, 2023Updated 3 years ago
- Official implementation of Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Reweighting☆16Feb 14, 2024Updated 2 years ago
- Public code for "Reinforcement Learning from Passive Data via Latent Intentions"☆89Nov 19, 2023Updated 2 years ago
- Synthetic Experience Replay☆114Apr 16, 2026Updated 3 months ago
- Codes accompanying the paper "Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling" (ICLR 2023) https://arxiv.or…☆42Oct 11, 2023Updated 2 years ago
- Anti exploration in offline reinforcement learning☆11May 17, 2021Updated 5 years ago
- Official implementation of the RLC 2024 paper "Policy-Guided Diffusion"☆153Jul 19, 2024Updated 2 years ago
- A curated list of Diffusion Model in RL resources (continually updated)☆1,627May 30, 2026Updated last month
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D…☆18Nov 8, 2024Updated last year
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆35Jan 5, 2023Updated 3 years ago
- official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning (NeurIPS 2023)☆123Jul 31, 2024Updated last year
- Code for ICLR 2022 paper Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL.☆27Feb 21, 2022Updated 4 years ago
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆115Apr 16, 2026Updated 3 months ago
- Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction☆35Nov 3, 2023Updated 2 years ago
- Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)☆64Apr 29, 2024Updated 2 years ago
- The official implementation of flow Q-learning (FQL)☆320Jul 21, 2025Updated 11 months ago
- [ICRA'25] H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics Gaps☆13Apr 10, 2025Updated last year
- 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.
- [ICLR 2024 Spotlight] Code for ICLR 2024 paper "Towards Robust Offline Reinforcement Learning under Diverse Data Corruption"☆22Nov 25, 2024Updated last year
- Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"☆1,294Jul 18, 2024Updated 2 years ago
- High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC…☆1,367Aug 3, 2023Updated 2 years ago
- ☆80Dec 9, 2022Updated 3 years ago
- Official implementation for: Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning ICLR'24☆27Aug 28, 2024Updated last year
- Facebear's minimal implementation of SBAC (Soft behavior regularized actor critic, NIPS22 offline RL workshop)☆11Jul 4, 2022Updated 4 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