Facebear-ljx / PROTOLinks
☆18Updated 2 years ago
Alternatives and similar repositories for PROTO
Users that are interested in PROTO are comparing it to the libraries listed below
Sorting:
- The official implementation of "Mind the Gap: Offline Policy Optimization for Imperfect Rewards" (ICLR2023)☆16Updated 2 years ago
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆34Updated 2 years ago
- ☆17Updated last year
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆28Updated 3 years ago
- ☆15Updated 2 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…☆44Updated last year
- Code for NeurIPS 2022 paper "Robust offline Reinforcement Learning via Conservative Smoothing"☆19Updated 2 years ago
- ☆47Updated 6 months ago
- ☆7Updated 2 years ago
- ☆56Updated 2 years ago
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆20Updated 2 years ago
- ☆33Updated 2 years ago
- Domain-Robust Visual Imitation Learning with Mutual Information Constraints code☆18Updated 4 years ago
- [NeurIPS'20] Code for the paper "Offline Imitation Learning with a Misspecified Simulator"☆12Updated 3 years ago
- OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation☆15Updated last year
- Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D…☆18Updated 6 months ago
- [OWA@NeurIPS'24] xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory Editing☆18Updated 7 months ago
- ☆28Updated last year
- ☆10Updated last year
- Official implementation of Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Reweighting☆16Updated last year
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆36Updated last year
- ☆23Updated last year
- ☆24Updated last year
- D2C(Data-driven Control Library) is a library for data-driven control based on reinforcement learning.☆24Updated last year
- [ICML 2024] The offical implementation of A2PR, a simple way to achieve SOTA in offline reinforcement learning with an adaptive advantage…☆26Updated last year
- ☆15Updated 2 years ago
- ☆16Updated last year
- Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022☆27Updated 2 years ago
- CORRO code☆35Updated 2 years ago
- Anti exploration in offline reinforcement learning☆9Updated 4 years ago