Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023
☆58May 19, 2025Updated 11 months ago
Alternatives and similar repositories for quasimetric-rl
Users that are interested in quasimetric-rl are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementations of Temporal Difference InfoNCE (TD InfoNCE)☆34Nov 13, 2023Updated 2 years ago
- Online Goal-Conditioned Reinforcement Learning in JAX. ICLR 2025 Spotlight.☆264Nov 23, 2025Updated 5 months ago
- PyTorch Package For Quasimetric Learning☆50Oct 31, 2024Updated last year
- METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)☆89Oct 15, 2023Updated 2 years ago
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆96Dec 1, 2024Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Official code for TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations☆36Jan 24, 2026Updated 3 months ago
- [ECCV 2024] Characterizing Robustness via Natural Input Gradients☆13Mar 6, 2026Updated 2 months ago
- Foundation Policies with Hilbert Representations (ICML 2024)☆104Sep 29, 2025Updated 7 months ago
- Code for "Hierarchical Skills for Efficient Exploration" HSD-3 Algorithm and Baselines☆52Jun 3, 2022Updated 3 years ago
- [ICML 2023] Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills☆12Jul 15, 2023Updated 2 years ago
- [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.☆25Apr 19, 2024Updated 2 years ago
- Open source code for paper "On the Learning and Learnability of Quasimetrics".☆32Nov 28, 2022Updated 3 years ago
- Official PyTorch Implementation for Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning☆20Jan 11, 2023Updated 3 years ago
- Codes accompanying the paper "Offline Reinforcement Learning with Value-Based Episodic Memory" (ICLR 2022 https://arxiv.org/abs/2110.0979…☆15Mar 9, 2022Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Dual optimization to learn laplacian eigenpairs in arbitrary spaces☆17Dec 18, 2024Updated last year
- Code for the paper "Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference"☆43Jul 10, 2024Updated last year
- ☆33Mar 19, 2024Updated 2 years ago
- Code for Scalable Offline Model-Based RL with Action chunking☆24Feb 20, 2026Updated 2 months ago
- BeCL: Behavior Contrastive Learning for Unsupervised Skill Discovery.☆23May 11, 2023Updated 2 years ago
- Code base for NeurIPS 2022 paper Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation.☆11Aug 21, 2023Updated 2 years ago
- Open source code for paper "Denoised MDPs: Learning World Models Better Than the World Itself"☆139Aug 15, 2023Updated 2 years ago
- Code for the paper "Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making"☆29Jul 11, 2024Updated last year
- Extreme Q-Learning: Max Entropy RL without Entropy☆87Feb 14, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- [NeurIPS 2025 Spotlight] Generative Trajectory Stitching through Diffusion Composition☆71Sep 6, 2025Updated 8 months ago
- SkillHack: A Benchmark for Skill Transfer in Open-Ended Reinforcement Learning☆17Oct 23, 2022Updated 3 years ago
- Modular Single-file Reinfocement Learning Algorithms Library☆38May 16, 2023Updated 2 years ago
- Learning diverse options through the Laplacian representation.☆23Jan 5, 2024Updated 2 years ago
- Official implementation for "PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning" (NeurIPS 2024)☆19Oct 13, 2024Updated last year
- A benchmark for offline goal-conditioned RL and offline RL☆381Jan 14, 2026Updated 3 months ago
- code for the paper Offline Prioritized Experience Replay☆12Jun 13, 2023Updated 2 years ago
- Code for the paper "Learning to Assist Humans without Inferring Rewards"☆19Jul 7, 2024Updated last year
- ☆14Dec 14, 2024Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Adaptable Agent Populations via a Generative Model of Policies☆12Oct 14, 2021Updated 4 years ago
- Official implementation of Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Reweighting☆16Feb 14, 2024Updated 2 years ago
- Chart of current COVID-19 time series data. Enables a variety of county- state- and nation-level comparisons and data exploration.☆18Aug 1, 2020Updated 5 years ago
- The official implementation of "Horizon Reduction Makes RL Scalable"☆191Aug 2, 2025Updated 9 months ago
- Official codebase for Generating Diverse Cooperative Agents by Learning Incompatible Policies (notable-top-25% @ ICLR 2023)☆19May 10, 2024Updated last year
- Predictable MDP Abstraction for Unsupervised Model-Based RL (ICML 2023)☆33Feb 6, 2023Updated 3 years ago
- Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024☆29Apr 8, 2026Updated last month