Implementation of Deepmind's LaserTag-v0 game in A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning(2017)
☆20Nov 30, 2018Updated 7 years ago
Alternatives and similar repositories for lasertag-v0
Users that are interested in lasertag-v0 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)☆48Nov 30, 2018Updated 7 years ago
- paper <<Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation>> python implementation☆10Mar 27, 2018Updated 8 years ago
- ☆15Oct 6, 2019Updated 6 years ago
- ☆13Jul 2, 2020Updated 5 years ago
- ☆13Aug 15, 2020Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆22Oct 14, 2019Updated 6 years ago
- ☆20Feb 15, 2023Updated 3 years ago
- ☆16Sep 6, 2023Updated 2 years ago
- Reinforcement learning training project for a SLG game☆13Dec 21, 2017Updated 8 years ago
- Programs to test and prove game theory.☆18May 17, 2014Updated 12 years ago
- Implementation of VALOR (Variational Option Discovery Algorithms)☆10Jun 28, 2019Updated 6 years ago
- This is the companion code for the method reported in the paper "Learning game-theoretic models of multiagent trajectories using implicit…☆12Feb 8, 2021Updated 5 years ago
- Implementation of point-based value iteration (for POMDPs)☆12Mar 31, 2020Updated 6 years ago
- Design of a game theoretic adaptive cruise control algorithm using a one player dynamic game model with full information structure and a …☆17Feb 27, 2022Updated 4 years 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.
- Source code for the paper "Divergence-Augmented Policy Optimization"☆37Nov 28, 2019Updated 6 years ago
- Figure 4 in paper ``Cognitive Backscatter Network: A Spectrum Sharing Paradigm for Passive IoT''☆17Dec 29, 2019Updated 6 years ago
- Hierarchical Deep RL Network☆31Feb 20, 2017Updated 9 years ago
- Framework for generating adversarial examples using formal methods and for analyzing robustness of DNNs.☆21Jul 21, 2017Updated 8 years ago
- [NeurIPS, 2020 - Reproducibility Challenge]: [RE] Towards Interpretable Reinforcement Learning Using Attention Augmented Agents☆13Apr 26, 2021Updated 5 years ago
- A research project that leverages reinforcement learning and game theory in self-driving cars☆18Jun 6, 2021Updated 5 years ago
- ☆19Aug 9, 2022Updated 3 years ago
- ☆60Feb 3, 2023Updated 3 years ago
- This is a tensorflow implementation of "Autoencoder Regularized Network For Driving Style Representation Learning"☆13May 4, 2018Updated 8 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Algorithms for Uni-Modal Inverse Reinforcement Learning☆22Sep 23, 2022Updated 3 years ago
- Optimisation of wastewater treatment strategies based on mixed integer linear programming☆11Jul 16, 2020Updated 5 years ago
- an example of local large langue model embeddings with Redis as vector stores☆12Apr 30, 2023Updated 3 years ago
- Code for our paper 'Learning from Multiple Annotator Noisy Labels via Sample-wise Label Fusion' published on ECCV 2022☆11Jul 27, 2022Updated 3 years ago
- LSTM for driving behaviour classification☆17Mar 21, 2024Updated 2 years ago
- transparent and reproducible analysis of merging behavior: evidence from exiD dataset☆18Apr 24, 2023Updated 3 years ago
- Pointer Networks Implementation in Keras☆11Aug 17, 2017Updated 8 years ago
- Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification☆10May 31, 2022Updated 4 years ago
- ☆12Nov 13, 2017Updated 8 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Lipschitz Lifelong RL☆11Nov 6, 2020Updated 5 years ago
- Disagreement-Regularized Imitation Learning☆30May 25, 2021Updated 5 years ago
- AI-powered cryptocurrency trading bot built using deep reinforcement learning (DRL). The bot is designed as a research platform for devel…☆11Jan 18, 2025Updated last year
- GESTALT processing pipeline for barcodes captured with single-cell RNA sequencing☆13Jan 26, 2020Updated 6 years ago
- Learning to Incentivize Other Learning Agents☆36Jun 13, 2022Updated 4 years ago
- ☆14Mar 28, 2025Updated last year
- Tensorflow implementation of BootstrappedDQN using OpenAI baselines☆19Jan 12, 2021Updated 5 years ago