chandar-lab / Recall2Imagine
Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024
☆64Updated 9 months ago
Alternatives and similar repositories for Recall2Imagine:
Users that are interested in Recall2Imagine are comparing it to the libraries listed below
- Discovering and Achieving Goals via World Models, NeurIPS 2021☆85Updated last year
- Foundation Policies with Hilbert Representations (ICML 2024)☆80Updated 11 months ago
- Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024☆28Updated 7 months ago
- a simple and scalable agent for training adaptive policies with sequence-based RL☆114Updated 3 weeks ago
- Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.☆104Updated last year
- Code for TRANSDREAMER: REINFORCEMENT LEARNING WITH TRANSFORMER WORLD MODELS☆25Updated last year
- ☆76Updated 2 weeks ago
- PWM: Policy Learning with Large World Models☆42Updated 2 weeks ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆110Updated 3 years ago
- Transformer-based World Models☆77Updated last year
- Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)☆54Updated 5 months ago
- [ICLR 2023] Choreographer: a model-based agent that discovers and learns unsupervised skills in latent imagination, and it's able to effi…☆40Updated 8 months ago
- Public code for "Reinforcement Learning from Passive Data via Latent Intentions"☆87Updated last year
- METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)☆64Updated last year
- Skeleton for scalable and flexible Jax RL implementations☆73Updated last year
- DrM, a visual RL algorithm, minimizes the dormant ratio to guide exploration-exploitation trade-offs, achieving significant improvements …☆70Updated 9 months ago
- Code for "Masked Autoencoding for Scalable and Generalizable Decision Making". NeurIPS 2022☆43Updated last year
- Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.☆77Updated 10 months ago
- ☆24Updated 8 months ago
- ☆27Updated last year
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆77Updated 3 months ago
- Evaluating long-term memory of reinforcement learning algorithms☆141Updated last year
- [ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and …☆37Updated last year
- [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.☆23Updated 10 months ago
- Predictable MDP Abstraction for Unsupervised Model-Based RL (ICML 2023)☆32Updated 2 years ago
- ☆16Updated 11 months ago
- EARL: Environment for Autonomous Reinforcement Learning☆36Updated 2 years ago
- A benchmark for offline goal-conditioned RL and offline RL☆132Updated last week