☆53Feb 16, 2022Updated 4 years ago
Alternatives and similar repositories for design-bench
Users that are interested in design-bench are comparing it to the libraries listed below
Sorting:
- ☆24Feb 16, 2022Updated 4 years ago
- Baselines for Model-Based Optimization☆55Jan 23, 2022Updated 4 years ago
- Code for Continual Learning of Control Primitives☆18Nov 11, 2020Updated 5 years ago
- Baselines for Model-Based Optimization installation fixes and compatible with newer AMPERE+ GPUs (e.g. 3090)☆11Apr 30, 2023Updated 2 years ago
- Benchmarks for Model-Based Optimization☆97Apr 21, 2024Updated last year
- 📰 Must-Read Papers on Offline Model-Based Optimization 🔥☆29Jan 27, 2026Updated last month
- ☆18Mar 31, 2024Updated last year
- ☆14May 31, 2022Updated 3 years ago
- Benchmark for Biophysical Sequence Optimization Algorithms☆20May 21, 2025Updated 9 months ago
- [TMLR 2025 & ICLR 2025 DeLTa] Official Implementation of Design Editing for Offline Model-based Optimization 🧬 🤖☆10Apr 17, 2025Updated 10 months ago
- Experiment for Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning☆26Jan 16, 2023Updated 3 years ago
- Code for Diagnosing Bottlenecks in Deep Q-learning. Contains implementations of tabular environments plus solvers.☆19May 14, 2019Updated 6 years ago
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆21Oct 6, 2021Updated 4 years ago
- Codebase of Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization (ICLR2021)☆54Jul 7, 2021Updated 4 years ago
- Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023☆33Dec 7, 2024Updated last year
- ☆30Dec 23, 2025Updated 2 months ago
- ☆202Mar 25, 2023Updated 2 years ago
- Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning (NeurIPS2021)☆20Oct 25, 2021Updated 4 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆46Jun 30, 2022Updated 3 years ago
- Official implementation of ICML'24 paper "Offline Multi-Objective Optimization".☆24Jun 11, 2025Updated 8 months ago
- ☆11Feb 11, 2024Updated 2 years ago
- Cone program refinement☆10Mar 6, 2020Updated 5 years ago
- EARL: Environment for Autonomous Reinforcement Learning☆37Nov 24, 2022Updated 3 years ago
- This repository is the official implementation of the source code of the paper "B2Opt: Learning to Optimize Black-box Optimization with L…☆11Aug 16, 2024Updated last year
- Reinforcement Learning via Supervised Learning☆72May 16, 2022Updated 3 years ago
- ☆12Apr 25, 2022Updated 3 years ago
- Official implementation of NeurIPS'24 Spotlight paper "Monte Carlo Tree Search based Space Transfer for Black-box Optimization".☆12Nov 28, 2024Updated last year
- ☆14Nov 2, 2022Updated 3 years ago
- Code for the paper "Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces"☆15Apr 30, 2024Updated last year
- Bayesian Optimisation for String Spaces☆24Oct 21, 2021Updated 4 years ago
- The Official Code for Offline Model-based Adaptable Policy Learning (NeurIPS'21 & TPAMI)☆25Jan 16, 2024Updated 2 years ago
- ☆32Jul 10, 2023Updated 2 years ago
- IsaacGym environment for Trifinger robot☆49Aug 29, 2021Updated 4 years ago
- Instruction Following Agents with Multimodal Transforemrs☆53Nov 3, 2022Updated 3 years ago
- ☆14Dec 28, 2022Updated 3 years ago
- ☆16Feb 1, 2022Updated 4 years ago
- A set of real-world multi-objective optimization problems☆57May 29, 2021Updated 4 years ago
- ☆14Jun 26, 2019Updated 6 years ago
- Codebase for "Uni[MASK]: Unified Inference in Sequential Decision Problems"☆57Jul 3, 2024Updated last year