Efficient Exploration through Bayesian Deep-Q Networks.
☆18Mar 22, 2022Updated 4 years ago
Alternatives and similar repositories for BDQN-PyTorch
Users that are interested in BDQN-PyTorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Efficient Exploration through Bayesian Deep Q-Networks☆38Feb 14, 2018Updated 8 years ago
- ☆12Sep 30, 2017Updated 8 years ago
- 明朝那些事儿☆11May 31, 2022Updated 4 years ago
- Adopting reasonable strategies is challenging but crucial for an intelligent agent with limited resources working in hazardous, unstructu…☆13Dec 28, 2022Updated 3 years ago
- Use of reinforcement learning and deep reinforcement learning algorithms to optimize the UAV based cellular network for higher throughput…☆26Mar 5, 2026Updated 5 months ago
- 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.
- ☆19Apr 5, 2024Updated 2 years ago
- ☆19Mar 5, 2018Updated 8 years ago
- ☆10Feb 22, 2023Updated 3 years ago
- Parallel Quantum Annealing☆10Jan 7, 2023Updated 3 years ago
- Regularized Learning under label shifts☆18May 1, 2019Updated 7 years ago
- Deep Reinforcement Learning and BCD to solve phase shift and resource allocation of RIS and RSU☆32Jan 18, 2021Updated 5 years ago
- [ICML 2022] Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum☆12Jul 15, 2022Updated 4 years ago
- Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT☆37Mar 25, 2024Updated 2 years ago
- ☆28Dec 8, 2023Updated 2 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.
- Supporting code for "Learning to Solve Combinatorial Graph Partitioning Problems via Efficient Exploration".☆13Jun 18, 2022Updated 4 years ago
- Research on fee markets and resource allocation in blockchains.☆10Mar 14, 2023Updated 3 years ago
- A beginner's tutorial of reinforcement learning in both Chinese and English. 一份面向初学者的强化学习教程(中英双语)☆13Aug 17, 2023Updated 2 years ago
- Code associated with our paper "Estimating Risk and Uncertainty in Reinforcement Learning"☆11Oct 3, 2023Updated 2 years ago
- Implementing DQNClipped and DQNReg Algorithms☆10Mar 2, 2021Updated 5 years ago
- ☆14Nov 28, 2023Updated 2 years ago
- ☆35May 24, 2023Updated 3 years ago
- Train text generation model with JavaScript.☆15Jul 14, 2024Updated 2 years ago
- Code for the CoRL 2019 paper AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers☆25Feb 15, 2023Updated 3 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.
- Source code for ICML 2023 paper "Competing for Shareable Arms in Multi-Player Multi-Armed Bandits"☆10May 14, 2024Updated 2 years ago
- ☆10Sep 21, 2020Updated 5 years ago
- Application of REINFORCE algorithm to downlink NOMA system☆13Jan 28, 2026Updated 6 months ago
- This repository contains all code and experiments for competitive policy gradient (CoPG) algorithm.☆24Aug 1, 2020Updated 6 years ago
- PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF…☆34Oct 10, 2020Updated 5 years ago
- ☆17Apr 14, 2024Updated 2 years ago
- ☆12Jan 6, 2022Updated 4 years ago
- [NeurIPS 2025 Spotlight] "Stochastic Process Learning via Operator Flow Matching"☆23Apr 26, 2026Updated 3 months ago
- ☆10Jul 10, 2022Updated 4 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.
- Code of Paper "Cooperative Sensing and Uploading for Quality-Cost Tradeoff of Digital Twins in VEC", IEEE TCE, 2024.☆13Jul 10, 2023Updated 3 years ago
- ☆18Sep 7, 2023Updated 2 years ago
- Multi-Agent Deep Recurrent Q-Learning with Bayesian epsilon-greedy on AirSim simulator☆13Apr 1, 2022Updated 4 years ago
- [TPAMI] "Symbolic Visual Reinforcement Learning: A Scalable Framework with Object-Level Abstraction and Differentiable Expression Search"…☆18Jan 4, 2023Updated 3 years ago
- ☆15Sep 21, 2020Updated 5 years ago
- ☆10Feb 28, 2021Updated 5 years ago
- paper code☆11Jul 25, 2022Updated 4 years ago