zoharri / mambaLinks
Meta-RL Model-Based Algorithm
☆41Updated 7 months ago
Alternatives and similar repositories for mamba
Users that are interested in mamba are comparing it to the libraries listed below
Sorting:
- Source files to replicate experiments in my ICLR 2022 paper.☆70Updated 4 months ago
- Foundation Policies with Hilbert Representations (ICML 2024)☆102Updated 2 months ago
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆92Updated last year
- Repo for Implicit Diffusion Q-Learning☆117Updated 2 years ago
- Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.☆80Updated last year
- Unofficial PyTorch implementation (replicating paper results) of Implicit Q-Learning (In-sample Q-Learning) for offline RL☆23Updated last year
- Official repo for Offline RL for Online RL☆18Updated 2 years ago
- Synthetic Experience Replay☆107Updated last year
- Transformer-based World Models☆86Updated 2 years ago
- Official code for "World Models via Policy-Guided Trajectory Diffusion", TMLR 2024☆71Updated last year
- Extreme Q-Learning: Max Entropy RL without Entropy☆87Updated 2 years ago
- Decision Mamba: Reinforcement Learning via Sequence Modeling with Selective State Spaces☆45Updated last year
- Pytorch Implementation of Learning Latent Dynamic Robust Representations for World Models☆22Updated last year
- PWM: Policy Learning with Large World Models☆61Updated 4 months ago
- Controllability-Aware Unsupervised Skill Discovery (ICML 2023)☆28Updated 2 years ago
- Collection of papers and resources for data augmentation (DA) in visual reinforcement learning (RL).☆79Updated last year
- Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.☆110Updated 2 years ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆68Updated last year
- METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)☆81Updated 2 years ago
- Implementation of Jump-Start Reinforcement Learning (JSRL) with Stable Baselines3☆36Updated last year
- [NeurIPS 2024] Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow☆40Updated last year
- [ICLR 2024 oral] Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning☆28Updated last year
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆81Updated last year
- [NeurIPS 2023] Efficient Diffusion Policy☆113Updated 2 years ago
- Codebase for the paper "How Crucial is Transformer in Decision Transformer?". Containing experiments on different pendulum tasks and code…☆27Updated 2 years ago
- Official implementation of NeurIPS'23 paper, Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets☆27Updated last year
- ☆57Updated last month
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆112Updated last year
- official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning (NeurIPS 2023)☆114Updated last year
- [ECCV2022] [T-PAMI] StARformer: Transformer with State-Action-Reward Representations.☆95Updated 2 years ago