denisyarats / protoView external linksLinks
Proto-RL: Reinforcement Learning with Prototypical Representations
☆86Jun 12, 2022Updated 3 years ago
Alternatives and similar repositories for proto
Users that are interested in proto are comparing it to the libraries listed below
Sorting:
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆20Oct 6, 2021Updated 4 years ago
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆20Oct 6, 2021Updated 4 years ago
- Code for Environment Probing Interaction Policies [ICLR 2019]☆29Jun 17, 2019Updated 6 years ago
- Variational Reinforcement Learning☆17Jul 25, 2024Updated last year
- ☆359Oct 12, 2022Updated 3 years ago
- Open source code for paper "Denoised MDPs: Learning World Models Better Than the World Itself"☆136Aug 15, 2023Updated 2 years ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆128Feb 8, 2022Updated 4 years ago
- CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning☆598Oct 28, 2020Updated 5 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆156Aug 31, 2021Updated 4 years ago
- Code for paper "Hierarchically Decoupled Imitation for Morphological Transfer"☆17Mar 24, 2023Updated 2 years ago
- Clockwork VAEs in JAX/Flax☆32Jul 16, 2021Updated 4 years ago
- ☆54Feb 28, 2024Updated last year
- Repository for the paper "Planning to Explore via Self-Supervised World Models"☆234Feb 10, 2023Updated 3 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆82Mar 9, 2023Updated 2 years ago
- ☆15Aug 9, 2021Updated 4 years ago
- RAD: Reinforcement Learning with Augmented Data☆416Mar 29, 2021Updated 4 years ago
- MImE - Manipulation Imitation Environments☆14Feb 1, 2022Updated 4 years ago
- ☆13Mar 16, 2023Updated 2 years ago
- DrQ-v2: Improved Data-Augmented Reinforcement Learning☆431May 31, 2022Updated 3 years ago
- My Body Is A Cage☆41Apr 13, 2021Updated 4 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆81Jul 23, 2019Updated 6 years ago
- Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.☆114Nov 24, 2020Updated 5 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆103Mar 24, 2023Updated 2 years ago
- Code for the paper Task Agnostic Morphology Evolution.☆20May 25, 2021Updated 4 years ago
- Representation Learning in RL☆13Jun 1, 2022Updated 3 years ago
- Reinforcement learning algorithms for MuJoCo tasks☆446Mar 13, 2025Updated 11 months ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Dec 7, 2020Updated 5 years ago
- A set of environments utilizing pybullet for simulation of robotic manipulation tasks.☆29Mar 8, 2021Updated 4 years ago
- CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning☆240Nov 1, 2022Updated 3 years ago
- ☆73Mar 15, 2021Updated 4 years ago
- Learning bisimulation metrics for control, particularly suited to sparse reward settings☆10Feb 28, 2023Updated 2 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
- ☆15Oct 20, 2020Updated 5 years ago
- Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning"☆18Oct 21, 2022Updated 3 years ago
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Jul 6, 2023Updated 2 years ago
- ☆19Nov 7, 2020Updated 5 years ago
- The Balloon Learning Environment - flying stratospheric balloons with deep reinforcement learning.☆130Jul 9, 2024Updated last year
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆472Jul 6, 2023Updated 2 years ago
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆163Dec 21, 2021Updated 4 years ago