pcheng2 / TSRLLinks
☆19Updated 2 years ago
Alternatives and similar repositories for TSRL
Users that are interested in TSRL 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
- ☆20Updated 2 years ago
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆39Updated last year
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆29Updated 3 years ago
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆35Updated 2 years ago
- D2C(Data-driven Control Library) is a library for data-driven control based on reinforcement learning.☆32Updated 2 years ago
- ☆13Updated last year
- Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization☆22Updated last year
- [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"☆57Updated 2 years ago
- ☆60Updated 3 weeks ago
- Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D…☆18Updated last year
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆26Updated 5 months ago
- [ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning☆37Updated 3 years ago
- [OWA@NeurIPS'24] xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory Editing☆20Updated last year
- [NeurIPS'22 Spotlight] When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning☆58Updated 2 years ago
- [ICML 2024] The offical implementation of A2PR, a simple way to achieve SOTA in offline reinforcement learning with an adaptive advantage…☆34Updated last year
- code for paper "Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning"☆19Updated last year
- ☆58Updated 2 years ago
- Code for NeurIPS 2022 paper "Robust offline Reinforcement Learning via Conservative Smoothing"☆23Updated 2 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆157Updated 2 years ago
- Model-based Offline Policy Optimization re-implement all by pytorch☆37Updated 2 years ago
- official implementation of ODICE☆19Updated last year
- ☆37Updated 2 years ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆113Updated last month
- ☆15Updated 3 months ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆62Updated 2 years ago
- ☆25Updated last year
- ☆42Updated 2 years ago
- Benchmarked implementations of Offline RL Algorithms.☆76Updated 9 months ago
- A PyTorch implementation of Implicit Q-Learning☆93Updated 4 years ago