学习资料整理
☆12Nov 28, 2012Updated 13 years ago
Alternatives and similar repositories for robocup3d
Users that are interested in robocup3d are comparing it to the libraries listed below
Sorting:
- RoboCup challenge implementations☆44Feb 4, 2026Updated last month
- ☆14Aug 12, 2024Updated last year
- A Caffe/C++ implementation of Deep Deterministic Policy Gradient☆10Feb 1, 2019Updated 7 years ago
- Implementation of BIMRL: Brain Inspired Meta Reinforcement Learning - Roozbeh Razavi et al. (IROS 2022)☆10Dec 1, 2022Updated 3 years ago
- Example project with Qt GUI controlling servo on Arduino UNO, over HDLC protocol.☆11Sep 29, 2015Updated 10 years ago
- NuART-Py: Python Library of Adaptive Resonance Theory Neural Network☆10Jan 26, 2020Updated 6 years ago
- MArine Robotics Simulator - An online Hardware-in-the-Loop simulation environment for multiple AUVs and ASVs.☆12May 9, 2016Updated 9 years ago
- ADAPTIVE RESONANCE THEORY. Gail A. Carpenter and Stephen Grossberg☆10Feb 10, 2015Updated 11 years ago
- Source code for journal paper "Multiagent Reinforcement Learning With Sparse Interactions by Negotiation and Knowledge Transfer"☆13Dec 26, 2017Updated 8 years ago
- Official PyTorch Implementation of Federated Learning with Positive and Unlabeled Data☆10Aug 12, 2022Updated 3 years ago
- Part of a research scholarship. I built a basic 2d driving sim with simulated lidar data to train Deep Q Neural Network. So far after abo…☆11Feb 15, 2017Updated 9 years ago
- Robocup2D exp(机器人足球2D_实验)☆10Nov 14, 2019Updated 6 years ago
- PyTorch implementation for our paper "Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation"☆13Apr 19, 2023Updated 2 years ago
- Low-level autonomous control and tracking of quadrotor using reinforcement learning - Proximal Policy Optimization☆11Dec 2, 2020Updated 5 years ago
- UNSW's RoboCup Standard Platform League Team☆12Jun 18, 2022Updated 3 years ago
- Official implementation for the paper "Sample-Then-Optimize Batch Neural Thompson Sampling", published at NeurIPS 2022.☆10Oct 13, 2022Updated 3 years ago
- Multi-layer perceptron, Autoencoder, and Restricted Boltzmann Machine☆10Sep 15, 2018Updated 7 years ago
- The official code for [ECCV2020] "HALO: Hardware-aware Learning to Optimize"☆10Mar 22, 2023Updated 2 years ago
- Google AI Research☆10Mar 11, 2020Updated 5 years ago
- Code associated with our paper "Estimating Risk and Uncertainty in Reinforcement Learning"☆11Oct 3, 2023Updated 2 years ago
- ZJU Robotics project of differential drive car path planning and trajectory planning based on the Client simulation platform (my freshman…☆10Dec 2, 2020Updated 5 years ago
- The source code of the paper "Compressed Federated Learning Based on Adaptive Local Differential Privacy".☆10Oct 23, 2023Updated 2 years ago
- core placement optimization☆13Dec 25, 2021Updated 4 years ago
- ardrone simulation in gazebo(for kinetic and gazebo 7). Now it can run.☆10Oct 27, 2017Updated 8 years ago
- ☆11May 27, 2022Updated 3 years ago
- ☆10Jul 20, 2020Updated 5 years ago
- PyTorch implementation of the "Learning an Adaptive Learning Rate Schedule" paper found here: https://arxiv.org/abs/1909.09712.☆12Jan 15, 2020Updated 6 years ago
- Low-rank Tensor Based Proximity Learning for Multi-view Clustering, TKDE2022☆11Dec 31, 2021Updated 4 years ago
- Task models for human robot collaboration☆12Jul 17, 2018Updated 7 years ago
- TransMix: Transformer-based Value Function Decomposition for Cooperative Multi-agent Reinforcement Learning☆11Oct 18, 2022Updated 3 years ago
- Code for Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent☆10Nov 19, 2020Updated 5 years ago
- this is for visual servoing of a turtlebot combined with navigation management☆13Feb 11, 2019Updated 7 years ago
- Multi-view Broad Learning Systerm☆10Mar 20, 2022Updated 3 years ago
- The source code of paper Human-Level Control through Directly-Trained Deep Spiking Q-Networks.☆13Apr 18, 2023Updated 2 years ago
- code and materials for paper "Multi-Stage Decision-Making Skill Learning for Soccer Robot", IEEE RCAR 2021☆10May 27, 2021Updated 4 years ago
- [AAMAS 2023] Code for the paper "Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning"☆12Feb 22, 2024Updated 2 years ago
- [ICML 2023] Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees☆11Aug 9, 2023Updated 2 years ago
- ☆11Oct 19, 2020Updated 5 years ago
- ☆12Jan 30, 2021Updated 5 years ago