ltlhuuu / A2PR
Implementation of A2PR, a simple way to achieve SOTA in offline reinforcement learning with an adaptive advantage-guided policy regularization method, in Pytorch
☆22Updated 5 months ago
Related projects ⓘ
Alternatives and complementary repositories for A2PR
- D2C(Data-driven Control Library) is a library for data-driven control based on reinforcement learning.☆20Updated last year
- ☆14Updated last year
- xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory Editing☆13Updated 3 weeks ago
- ☆11Updated last month
- [ICLR 2024] The official implementation of "Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model"☆64Updated 2 months ago
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆28Updated 8 months ago
- Author's PyTorch implementation of TD7 for online and offline RL☆114Updated last year
- CORRO code☆34Updated 2 years ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆73Updated last month
- The official implementation of "Mind the Gap: Offline Policy Optimization for Imperfect Rewards" (ICLR2023)☆17Updated last year
- This repository provides a survey on the applications of deep generative models for offline reinforcement learning and imitation learning…☆32Updated 3 months ago
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆34Updated last year
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆28Updated 2 years ago
- ☆76Updated last year
- ☆18Updated 5 months ago
- re-implementation of the offline model-based RL algorithm MOPO in pytorch☆24Updated 2 years ago
- [NeurIPS'22 Spotlight] When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning☆52Updated last year
- ☆51Updated last year
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆72Updated 10 months ago
- ☆18Updated last year
- Implementation of "MADiff: Offline Multi-agent Learning with Diffusion Models"☆40Updated last week
- The implementation of ICLR-2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆37Updated last week
- official implementation of ODICE☆13Updated 9 months ago
- This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmar…☆110Updated last year
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆47Updated last year
- A PyTorch implementation of Implicit Q-Learning☆66Updated 3 years ago
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆22Updated last week
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆94Updated 5 months ago
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆76Updated 11 months ago