facebookresearch / denoised_mdpView external linksLinks
Open source code for paper "Denoised MDPs: Learning World Models Better Than the World Itself"
☆137Aug 15, 2023Updated 2 years ago
Alternatives and similar repositories for denoised_mdp
Users that are interested in denoised_mdp are comparing it to the libraries listed below
Sorting:
- Proto-RL: Reinforcement Learning with Prototypical Representations☆86Jun 12, 2022Updated 3 years ago
- Open source code for paper "On the Learning and Learnability of Quasimetrics".☆32Nov 28, 2022Updated 3 years ago
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆20Oct 6, 2021Updated 4 years ago
- [ICML 2021] Learning Task Informed Abstractions -- a representation learning approach for model-based RL in complex visual domains☆18Jul 20, 2021Updated 4 years ago
- ☆359Oct 12, 2022Updated 3 years ago
- ☆25Jan 2, 2019Updated 7 years ago
- Invariant Causal Prediction for Block MDPs☆44Jun 11, 2020Updated 5 years ago
- ☆42May 11, 2022Updated 3 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆82Mar 9, 2023Updated 2 years ago
- An Empirical Investigation of Representation Learning for Imitation (EIRLI), NeurIPS'21☆36Mar 4, 2023Updated 2 years ago
- Image-based gridworld experiment for learning Markov state abstractions☆21Sep 16, 2024Updated last year
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆34Mar 29, 2023Updated 2 years ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆128Feb 8, 2022Updated 4 years ago
- Masked World Models for Visual Control☆135Jun 11, 2023Updated 2 years ago
- Implementation of CASCADE in Learning General World Models in a Handful of Reward-Free Deployments (NeurIPS 22).☆29Oct 25, 2022Updated 3 years ago
- MTM Masked Trajectory Models for Prediction, Representation, and Control.☆162Dec 16, 2025Updated 2 months ago
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Jul 6, 2023Updated 2 years ago
- Code base for paper: Reparameterized Policy Learning for Multimodal Trajectory Optimization☆27Jul 19, 2023Updated 2 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆156Aug 31, 2021Updated 4 years ago
- Discovering and Achieving Goals via World Models, NeurIPS 2021☆87Jan 24, 2024Updated 2 years ago
- ☆11Aug 2, 2022Updated 3 years ago
- PyTorch implementation of DARLA preprocessing models☆11Jan 30, 2018Updated 8 years ago
- Learning Robust Dynamics Through Variational Sparse Gating☆20Oct 19, 2022Updated 3 years ago
- Multi Task RL Baselines☆260Dec 31, 2021Updated 4 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆81Jul 23, 2019Updated 6 years ago
- Public code for "Reinforcement Learning from Passive Data via Latent Intentions"☆89Nov 19, 2023Updated 2 years ago
- Causal Analysis of Agent Behavior for AI Safety☆19Jun 27, 2023Updated 2 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆169Jan 19, 2025Updated last year
- Unofficial Re-implementation of "Dream to Control: Learning Behaviors by Latent Imagination" (https://arxiv.org/abs/1912.01603 ) with PyT…☆32Aug 22, 2020Updated 5 years ago
- Modular Single-file Reinfocement Learning Algorithms Library☆38May 16, 2023Updated 2 years ago
- Implementation of Sim2Seg (John So*, Amber Xie*, Sunggoo Jung, Jeffrey Edlund, Rohan Thakker, Ali-akbar Agha-mohammad, Pieter Abbeel, Ste…☆36Aug 26, 2023Updated 2 years ago
- DMControl Generalization Benchmark☆188Jan 3, 2024Updated 2 years ago
- Repository for the paper "Planning to Explore via Self-Supervised World Models"☆234Feb 10, 2023Updated 3 years ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆342Aug 22, 2024Updated last year
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆113May 27, 2024Updated last year
- Mastering Atari with Discrete World Models☆1,006Jan 21, 2023Updated 3 years ago
- Open source code combining implementations of Upside Down Reinforcement Learning and Reward Conditioned Policies☆19Mar 10, 2021Updated 4 years ago
- Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023☆54May 19, 2025Updated 8 months ago
- PyTorch Package For Quasimetric Learning☆46Oct 31, 2024Updated last year