Learning diverse options through the Laplacian representation.
☆23Jan 5, 2024Updated 2 years ago
Alternatives and similar repositories for dceo
Users that are interested in dceo are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Dual optimization to learn laplacian eigenpairs in arbitrary spaces☆18Dec 18, 2024Updated last year
- Learning Laplacian Representations in Reinforcement Learning☆18Jan 2, 2021Updated 5 years ago
- Official implementation for "PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning" (NeurIPS 2024)☆19Oct 13, 2024Updated 2 years ago
- The official implementation of the paper "Understanding Behavioral Metric Learning: A Large-Scale Study on Distracting Reinforcement Lear…☆12Aug 20, 2025Updated last year
- This code accompanies the paper "Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration."☆40Jul 11, 2025Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- HPO and Architecture Benchmarking for RL: Dynamically, Reactive and Efficient☆34Jun 16, 2026Updated 4 months ago
- ☆34Mar 19, 2024Updated 2 years ago
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆24Apr 8, 2024Updated 2 years ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆77Apr 26, 2026Updated 6 months ago
- Code for "Baba Is AI: Break the Rules to Beat the Benchmark"☆51Sep 11, 2026Updated last month
- ☆18Apr 22, 2024Updated 2 years ago
- [NeurIPS 2023] Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement☆18Oct 30, 2024Updated 2 years ago
- Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization☆22Apr 17, 2024Updated 2 years ago
- ☆35Jan 4, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- CREATE Environment for long-horizon physics-puzzle tasks with diverse tools☆18Nov 22, 2022Updated 3 years ago
- Implementation and explorations into PopuLoRA, Co-Evolving LLM Populations for Reasoning Self-Play☆19Oct 17, 2026Updated last week
- METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)☆96Oct 15, 2023Updated 3 years ago
- Collection of resources on plasticity loss in deep reinforcement learning☆23Nov 12, 2024Updated last year
- The Controllable Agent project trains RL Agents able to optimize any reward function specified in real time, without any further learning…☆80Jul 17, 2023Updated 3 years ago
- Learning bisimulation metrics for control, particularly suited to sparse reward settings☆11Feb 28, 2023Updated 3 years ago
- ☆32Feb 21, 2021Updated 5 years ago
- Intrinsic Motivation from Artificial Intelligence Feedback☆138Nov 7, 2023Updated 2 years ago
- Misconception-based tutor designed to help people learn Linear Temporal Logic.☆12Jul 28, 2026Updated 3 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- (Crafter + NetHack) in JAX. ICML 2024 Spotlight.☆467Updated this week
- [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 "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023☆65May 19, 2025Updated last year
- Tools for manipulating CHC and related files☆15Apr 21, 2023Updated 3 years ago
- Artifact for paper "Chronosymbolic: Efficient CHC Solving with Symbolic Reasoning and Inductive Learning" in Python☆11Aug 4, 2024Updated 2 years ago
- Action Value Gradient Algorithm☆30May 18, 2025Updated last year
- Reward Propagation using Graph Convolutional Networks☆13Jun 19, 2021Updated 5 years ago
- [NeurIPS 2023] Official code release accompanying the paper "NetHack is Hard to Hack" (Piterbarg, Pinto, Fergus)☆14Oct 30, 2023Updated 3 years ago
- DrM, a visual RL algorithm, minimizes the dormant ratio to guide exploration-exploitation trade-offs, achieving significant improvements …☆79Aug 28, 2026Updated 2 months ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Production build of the new website☆13May 19, 2024Updated 2 years ago
- Online Goal-Conditioned Reinforcement Learning in JAX. ICLR 2025 Spotlight.☆289Sep 21, 2026Updated last month
- Representation Learning (RepL) Methods in Reinforcement Learning and Causal Inference☆32Nov 24, 2025Updated 11 months ago
- CS234 Reinforcement Learning: Keras implementation of Recurrent Deterministic Policy Gradient (https://arxiv.org/abs/1512.04455)☆10Jun 10, 2017Updated 9 years ago
- Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)☆12Jul 29, 2023Updated 3 years ago
- Standard interface for entity based reinforcement learning environments.☆40Feb 28, 2024Updated 2 years ago
- Simple single-file baselines for Q-Learning in pure-GPU setting☆246Nov 24, 2025Updated 11 months ago