chandar-lab / Recall2ImagineLinks
Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024
☆77Updated last year
Alternatives and similar repositories for Recall2Imagine
Users that are interested in Recall2Imagine are comparing it to the libraries listed below
Sorting:
- Foundation Policies with Hilbert Representations (ICML 2024)☆102Updated 2 months ago
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"☆57Updated last year
- MTM Masked Trajectory Models for Prediction, Representation, and Control.☆161Updated 2 years ago
- METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)☆79Updated 2 years ago
- Transformer-based World Models☆86Updated 2 years ago
- Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024☆28Updated last year
- Using advances in generative modeling to learn reward functions from unlabeled videos.☆136Updated last year
- Code for the ICLR 2024 spotlight paper: "Learning to Act without Actions" (introducing Latent Action Policies)☆128Updated last year
- Public code for "Reinforcement Learning from Passive Data via Latent Intentions"☆89Updated 2 years ago
- [NeurIPS 2024] GenRL: Multimodal-foundation world models enable grounding language and video prompts into embodied domains, by turning th…☆84Updated 8 months ago
- ☆30Updated last year
- JAX reimplementation of the DeepMind paper "Genie: Generative Interactive Environments"☆95Updated 10 months ago
- off-policy RL on long sequences☆152Updated 3 months ago
- ☆112Updated 9 months ago
- ☆122Updated last week
- Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"☆77Updated last month
- Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.☆110Updated 2 years ago
- Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)☆62Updated last year
- Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.☆80Updated last year
- Official code for "World Models via Policy-Guided Trajectory Diffusion", TMLR 2024☆71Updated last year
- MR.Q is a general-purpose model-free reinforcement learning algorithm.☆127Updated 5 months ago
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆91Updated last year
- PWM: Policy Learning with Large World Models☆60Updated 4 months ago
- ☆35Updated 5 months ago
- Code for "Masked Autoencoding for Scalable and Generalizable Decision Making". NeurIPS 2022☆47Updated last year
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]☆110Updated 2 years ago
- This code accompanies the paper "Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration."☆35Updated 4 months ago
- Predictable MDP Abstraction for Unsupervised Model-Based RL (ICML 2023)☆32Updated 2 years ago
- Official code for TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations☆34Updated last year
- ☆48Updated last month