Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
β24Jun 24, 2020Updated 6 years ago
Alternatives and similar repositories for BGRL
Users that are interested in BGRL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- π Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)β18Jul 6, 2023Updated 3 years ago
- Ranking Policy Gradientβ23Nov 27, 2019Updated 6 years ago
- π΄ OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)β25Jun 20, 2021Updated 5 years ago
- Implementation of Population-Guided Parallel Policy Search for Reinforcement Learningβ22Jan 9, 2020Updated 6 years ago
- β17Dec 12, 2020Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer β’ AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Stochastic Variance Reduction Policy Gradient Estimationβ11Nov 6, 2018Updated 7 years ago
- Anomalous versions of OpenAI Gym and PyBullet3 environmentsβ15Oct 24, 2021Updated 5 years ago
- β14Jun 26, 2019Updated 7 years ago
- Simplistic Pytorch Implementation of the Dreamer-RLβ20May 7, 2025Updated last year
- Efficient Exploration via State Marginal Matching (2019)β69Jun 30, 2019Updated 7 years ago
- Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Playβ14May 1, 2018Updated 8 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimationβ25Jul 18, 2023Updated 3 years ago
- Github Repo for CARL: Cautious Adaptation for RL in Safety Critical Settingsβ14Nov 22, 2022Updated 3 years ago
- Supporting code for "Parallel Streaming Wasserstein Barycenters"β11Nov 14, 2017Updated 8 years ago
- GPU virtual machines on DigitalOcean Gradient AI β’ AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Learning Action-Value Gradients in Model-based Policy Optimizationβ33Sep 7, 2021Updated 5 years ago
- β18Apr 17, 2019Updated 7 years ago
- Implementation of the paper 'Stochastic Wasserstein Barycenters'β11Oct 17, 2018Updated 8 years ago
- Source code for the paper "Divergence-Augmented Policy Optimization"β37Nov 28, 2019Updated 6 years ago
- β16Sep 25, 2019Updated 7 years ago
- Code for the paper "Learning Step-Size Adaptation in CMA-ES"β13Mar 24, 2023Updated 3 years ago
- Implementation of Deepmind's Neural Episodic Controlβ59May 9, 2018Updated 8 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objectiveβ82Mar 9, 2023Updated 3 years ago
- AISTATS 2019: Reference-based Adversarial Sampling & Its applications to Soft Q-learningβ15Jan 21, 2019Updated 7 years ago
- Managed hosting for WordPress and PHP on Cloudways β’ AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Code to reproduce Supervised Policy Update (ICLR 2019)β17Dec 8, 2022Updated 3 years ago
- A Pytorch implementation of the KWNG estimatorβ14Jul 25, 2024Updated 2 years ago
- **Sferes2 module** A unifying modular framework for Quality-Diversity algorithmsβ22Nov 6, 2020Updated 5 years ago
- Keras implementation of guide actor-critic for continuous controlβ11Mar 12, 2018Updated 8 years ago
- Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline settingβ37Feb 9, 2021Updated 5 years ago
- Map-Elites based on Evolution Strategiesβ34Feb 11, 2022Updated 4 years ago
- [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)β31Sep 16, 2022Updated 4 years ago
- Vectorization techniques for fast population-based training.β58Apr 26, 2026Updated 6 months ago
- [ICLR'20] Learning to Learn by Zeroth-Order Oracleβ14Feb 7, 2020Updated 6 years ago
- Virtual machines for every use case on DigitalOcean β’ AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Tensorflow code for "Learning Self-Imitating Diverse Policies" (ICLR 2019)β20Nov 26, 2020Updated 5 years ago
- Source code for ICLR 2020 paper: "Learning to Guide Random Search"β40Sep 2, 2024Updated 2 years ago
- β29May 27, 2024Updated 2 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918β¦β49Apr 14, 2019Updated 7 years ago
- An open source Agar.io server implementation, written with Node.js.β10Jul 20, 2015Updated 11 years ago
- Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemysβ¦β22Feb 24, 2023Updated 3 years ago
- implementation of Wasserstein Natural Policy Gradients and Wasserstein Natural Evolution Strategiesβ13Mar 9, 2021Updated 5 years ago