dibyaghosh / icvf_release
Public code for "Reinforcement Learning from Passive Data via Latent Intentions"
☆87Updated last year
Alternatives and similar repositories for icvf_release:
Users that are interested in icvf_release are comparing it to the libraries listed below
- A benchmark for offline goal-conditioned RL and offline RL☆139Updated 2 weeks ago
- Foundation Policies with Hilbert Representations (ICML 2024)☆80Updated 11 months ago
- Using advances in generative modeling to learn reward functions from unlabeled videos.☆124Updated last year
- Code for "Masked Autoencoding for Scalable and Generalizable Decision Making". NeurIPS 2022☆43Updated last year
- Code for the ICLR 2024 spotlight paper: "Learning to Act without Actions" (introducing Latent Action Policies)☆88Updated 7 months ago
- Masked World Models for Visual Control☆120Updated last year
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆100Updated 9 months ago
- METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)☆64Updated last year
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"☆53Updated 11 months ago
- [NeurIPS 2024] GenRL: Multimodal-foundation world models enable grounding language and video prompts into embodied domains, by turning th…☆70Updated 2 months ago
- [ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and …☆37Updated last year
- DrM, a visual RL algorithm, minimizes the dormant ratio to guide exploration-exploitation trade-offs, achieving significant improvements …☆70Updated 9 months ago
- a simple and scalable agent for training adaptive policies with sequence-based RL☆114Updated last month
- Skeleton for scalable and flexible Jax RL implementations☆74Updated last year
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆77Updated 3 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 9 months ago
- Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.☆77Updated 10 months ago
- PWM: Policy Learning with Large World Models☆42Updated last month
- ☆70Updated 2 years ago
- ☆56Updated last year
- Discovering and Achieving Goals via World Models, NeurIPS 2021☆85Updated last year
- Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024☆63Updated 9 months ago
- Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023☆45Updated 10 months ago
- Transformer-based World Models☆78Updated last year
- Predictable MDP Abstraction for Unsupervised Model-Based RL (ICML 2023)☆32Updated 2 years ago
- MTM Masked Trajectory Models for Prediction, Representation, and Control.☆150Updated last year
- Official code for "World Models via Policy-Guided Trajectory Diffusion", TMLR 2024☆62Updated last year
- JAX reimplementation of the DeepMind paper "Genie: Generative Interactive Environments"☆56Updated last month
- Finetuning Offline World Models in the Real World☆57Updated last year