t6-thu / H2OView external linksLinks
[NeurIPS'22 Spotlight] When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning
☆58Sep 24, 2023Updated 2 years ago
Alternatives and similar repositories for H2O
Users that are interested in H2O are comparing it to the libraries listed below
Sorting:
- The official implementation of "When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning" (ICLR2023)☆44Mar 6, 2023Updated 2 years ago
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆35Jan 5, 2023Updated 3 years ago
- The official implementation of "Mind the Gap: Offline Policy Optimization for Imperfect Rewards" (ICLR2023)☆16Mar 3, 2023Updated 2 years ago
- ☆20May 25, 2023Updated 2 years ago
- ☆21Nov 3, 2023Updated 2 years ago
- [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"☆57Apr 6, 2023Updated 2 years ago
- ☆60Feb 3, 2023Updated 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…☆47Jul 27, 2023Updated 2 years ago
- D2C(Data-driven Control Library) is a library for data-driven control based on reinforcement learning.☆32Oct 18, 2023Updated 2 years ago
- Facebear's minimal implementation of SBAC (Soft behavior regularized actor critic, NIPS22 offline RL workshop)☆12Jul 4, 2022Updated 3 years ago
- ☆42Jan 26, 2023Updated 3 years ago
- Official implementation of Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Reweighting☆17Feb 14, 2024Updated last year
- ☆39Jun 8, 2024Updated last year
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆62Apr 4, 2023Updated 2 years ago
- Code for NeurIPS 2022 paper "Robust offline Reinforcement Learning via Conservative Smoothing"☆23Feb 15, 2023Updated 2 years ago
- PatchBackdoor is a code base associated with paper PatchBackdoor.☆12Aug 27, 2024Updated last year
- ☆42Oct 19, 2022Updated 3 years ago
- ☆15Jan 18, 2026Updated 3 weeks ago
- OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation☆16Aug 3, 2023Updated 2 years ago
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆29Feb 21, 2022Updated 3 years ago
- ☆31Apr 1, 2025Updated 10 months ago
- Code for ICLR 2022 paper Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL.☆28Feb 21, 2022Updated 3 years ago
- official implementation of ODICE☆19Jan 31, 2024Updated 2 years ago
- MPG is originated from the paper "Mixed policy gradient", which also contains a cluster of high-quality implementations of deep reinforce…☆22Apr 20, 2022Updated 3 years ago
- Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)☆60Apr 29, 2024Updated last year
- ☆18Jul 10, 2022Updated 3 years ago
- ☆63Mar 31, 2023Updated 2 years ago
- ☆84Jun 29, 2022Updated 3 years ago
- Code for the paper "Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection"☆10Aug 7, 2023Updated 2 years ago
- Official codes for paper: Autonomous Driving Scenario Generation via Reversely Regularized Hybrid Offline-and-Online Reinforcement Learni…☆24Nov 23, 2023Updated 2 years ago
- ☆57Feb 18, 2023Updated 2 years ago
- Codebase of paper "Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms" publ…☆12Jul 13, 2023Updated 2 years ago
- Text-to-Drive: Diverse Driving Behaviors Synthesis via Large Language Models☆11Mar 17, 2024Updated last year
- Google AI Research☆10Mar 11, 2020Updated 5 years ago
- official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning (NeurIPS 2023)☆119Jul 31, 2024Updated last year
- reinforcement learning from randomized simulations☆68Mar 31, 2025Updated 10 months ago
- [ICLR 2024] The official implementation of "Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model"☆119Feb 11, 2025Updated last year
- Official repository for paper "Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching" (ICML…☆28Jan 12, 2023Updated 3 years ago
- Used Flow, Ray/RLlib and OpenAI Gym to simulate and train autonomous vehicles/human drivers in SUMO (Simulation of Urban Mobility)☆24Dec 15, 2020Updated 5 years ago