Randomized Value Functions via Multiplicative Normalizing Flows
☆18Jan 1, 2023Updated 3 years ago
Alternatives and similar repositories for RandomizedValueFunctions
Users that are interested in RandomizedValueFunctions are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…☆21Feb 24, 2023Updated 3 years ago
- Separating value functions across time-scales.☆18May 13, 2019Updated 7 years ago
- Reward Estimation for Variance Reduction in Deep Reinforcement Learning☆11May 8, 2018Updated 8 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Jul 17, 2020Updated 5 years ago
- Contextual Bandit Spectral Representation Learner☆13Oct 25, 2022Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆22Nov 28, 2022Updated 3 years ago
- [ICML 2020] Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies. https://arxiv.org/abs/20…☆15Dec 8, 2020Updated 5 years ago
- Github Repo for CARL: Cautious Adaptation for RL in Safety Critical Settings☆14Nov 22, 2022Updated 3 years ago
- Different implementations of Bayesian neural networks for uncertainty estimation. The uncertainty estimation is utilized for efficient ex…☆11Nov 29, 2020Updated 5 years ago
- Reward Estimation for Variance Reduction in Deep Reinforcement Learning☆23Oct 26, 2018Updated 7 years ago
- Ranking Policy Gradient☆23Nov 27, 2019Updated 6 years ago
- 硕士毕业论文代码 深度强化学习☆10Apr 4, 2020Updated 6 years ago
- An implementation of main reinforcement learning algorithms: solo-agent and ensembled versions.☆13Feb 7, 2019Updated 7 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Oct 16, 2024Updated last year
- 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.
- Code required to reproduce the experiments in Auxiliary Variational MCMC☆17Oct 1, 2018Updated 7 years ago
- A JAX implementation of Broaden Your Views for Self-Supervised Video Learning, or BraVe for short.☆51Mar 17, 2026Updated 3 months ago
- Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.☆17Feb 17, 2021Updated 5 years ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆98Jun 11, 2026Updated 3 weeks ago
- Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)☆26Jun 9, 2021Updated 5 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Nov 3, 2017Updated 8 years ago
- sketch-rnn demo for seoul mediacity biennale 2018☆13Sep 4, 2018Updated 7 years ago
- ☆44Dec 4, 2018Updated 7 years ago
- SVGD implementation☆12Jul 23, 2018Updated 7 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Official implementation for the paper "Offline Meta RL - Identifiability Challenges and Effective Data Collection Strategies", NeurIPS 20…☆31Nov 23, 2021Updated 4 years ago
- Assignments for CS294-112 Deep Reinforcement Learning in UC Berkeley in Fall 2018☆16Nov 15, 2018Updated 7 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆27Jun 11, 2020Updated 6 years ago
- Code for 'Inference Suboptimality in Variational Autoencoders'☆10May 22, 2020Updated 6 years ago
- TensorFlow implementation for our paper "Exploration via Hindsight Goal Generation"☆23Mar 11, 2022Updated 4 years ago
- Code for "A-NICE-MC: Adversarial Training for MCMC"☆126Jul 20, 2018Updated 7 years ago
- ☆11May 26, 2023Updated 3 years ago
- Implementation of: Kristiadi, Agustinus, and Asja Fischer. "Predictive Uncertainty Quantification with Compound Density Networks." (2019)…☆16May 26, 2022Updated 4 years ago
- Code for 'Contrastive Multi-Document Question Generation'☆11Oct 16, 2022Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A library to make errors.☆12Oct 23, 2021Updated 4 years ago
- Some starter code for training/testing some basic CNN models given our data.☆10Feb 15, 2017Updated 9 years ago
- Blog for the Open Institute for Advanced Study☆10Oct 30, 2020Updated 5 years ago
- ☆44Oct 27, 2018Updated 7 years ago
- ☆12Oct 11, 2020Updated 5 years ago
- An easy-to-use reinforcement learning library for research and education.☆175May 25, 2026Updated last month
- MCMC routines☆12Nov 22, 2022Updated 3 years ago