rail-berkeley / SUPELinks
This code accompanies the paper "Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration."
☆35Updated 4 months ago
Alternatives and similar repositories for SUPE
Users that are interested in SUPE are comparing it to the libraries listed below
Sorting:
- Official code for TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations☆34Updated last year
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"☆57Updated last year
- The official implementation of "Horizon Reduction Makes RL Scalable"☆167Updated 4 months ago
- ☆35Updated 5 months ago
- Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"☆77Updated last month
- ☆122Updated last week
- Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024☆77Updated last year
- [NeurIPS 2024] GenRL: Multimodal-foundation world models enable grounding language and video prompts into embodied domains, by turning th…☆84Updated 8 months ago
- ☆48Updated last month
- ☆30Updated last year
- Foundation Policies with Hilbert Representations (ICML 2024)☆102Updated 2 months ago
- off-policy RL on long sequences☆152Updated 3 months ago
- ☆112Updated 9 months ago
- MR.Q is a general-purpose model-free reinforcement learning algorithm.☆127Updated 5 months ago
- Public code for "Reinforcement Learning from Passive Data via Latent Intentions"☆89Updated 2 years ago
- Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)☆62Updated last year
- METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)☆79Updated 2 years ago
- MTM Masked Trajectory Models for Prediction, Representation, and Control.☆161Updated 2 years ago
- Code for the paper "Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making"☆28Updated last year
- A minimal home grid world environment to evaluate language understanding in interactive agents.☆24Updated 2 years ago
- Efficient World Models with Context-Aware Tokenization. ICML 2024☆114Updated last year
- ☆48Updated last year
- Using advances in generative modeling to learn reward functions from unlabeled videos.☆136Updated last year
- The official implementations of Intention-conditioned Flow Occupancy Models (InFOM)☆30Updated last month
- Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024☆28Updated last year
- Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023☆50Updated 6 months ago
- Code for the ICLR 2024 spotlight paper: "Learning to Act without Actions" (introducing Latent Action Policies)☆128Updated last year
- ☆46Updated 2 months ago
- VC-FB and MC-FB algorithms from "Zero-Shot Reinforcement Learning from Low Quality Data" (NeurIPS 2024)☆21Updated 10 months ago
- JAX reimplementation of the DeepMind paper "Genie: Generative Interactive Environments"☆95Updated 10 months ago