[NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning
☆35Feb 22, 2021Updated 5 years ago
Alternatives and similar repositories for SA_DQN
Users that are interested in SA_DQN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This repository contains the official code for our NeurIPS 2021 publication "Robust Deep Reinforcement Learning through Adversarial Loss…☆33Jan 21, 2022Updated 4 years ago
- [NeurIPS 2020 Spotlight] State-adversarial PPO for robust deep reinforcement learning☆32Nov 18, 2021Updated 4 years ago
- [NeurIPS 2020, Spotlight] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"☆145Nov 16, 2021Updated 4 years ago
- Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework☆70Jan 26, 2021Updated 5 years ago
- ☆20May 1, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- [ICML 2024 Oral] Consistent Adversarial Robust Deep Q Networks (CAR-DQN)☆14Feb 27, 2025Updated last year
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆49Apr 14, 2019Updated 7 years ago
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning☆30Sep 13, 2023Updated 2 years ago
- Code for the paper "Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation" by Alexander Levine and Soheil Feizi.☆10Aug 22, 2022Updated 4 years ago
- Implementation of Robust Adversarial Reinforcement Learning☆13Nov 27, 2017Updated 8 years ago
- Official Repository for "Agent Modelling under Partial Observability for Deep Reinforcement Learning"☆43Oct 5, 2022Updated 3 years ago
- Interval attacks (adversarial ML)☆21Jun 17, 2019Updated 7 years ago
- Code for the NeurIPS 2023 Paper: Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Sta…☆29Oct 29, 2023Updated 2 years ago
- Attack AlphaZero Go agents (NeurIPS 2022)☆22Dec 3, 2022Updated 3 years 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.
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆46Dec 10, 2024Updated last year
- MiniMax Multi-Agent Deep Deterministic Policy Gradient (M3DDPG) pytorch implementation☆15Feb 19, 2021Updated 5 years ago
- The code of paper *Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization*.☆18Mar 26, 2022Updated 4 years ago
- Fork of Microsoft/LightGBM to include support for the CEGB (Cost Efficient Gradient Boosting) algorithm. Original repository at https://g…☆13Jun 30, 2017Updated 9 years ago
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆148May 6, 2024Updated 2 years ago
- Adversarial attacks on Deep Reinforcement Learning (RL)☆98Feb 27, 2021Updated 5 years ago
- Reinforcement Learning with Perturbed Reward, AAAI 2020☆30Aug 2, 2024Updated 2 years ago
- The implement of GAIL with pytorch☆14Mar 11, 2020Updated 6 years ago
- CS234 Project, Winter 2019☆10Mar 20, 2019Updated 7 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.
- Pytorch code for "Learning Guidance Rewards with Trajectory-space Smoothing" (NeurIPS 2020)☆12Jul 7, 2021Updated 5 years ago
- ☆20Oct 19, 2022Updated 3 years ago
- This repo contains the code for the preprint 'Game Theory for Adversarial Attacks and Defenses' (https://arxiv.org/abs/2110.06166v2)☆10Oct 24, 2021Updated 4 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆81May 21, 2023Updated 3 years ago
- Implementation of some of the Deep Distributional Reinforcement Learning Algorithms.☆26Jun 17, 2025Updated last year
- Federated Deep Reinforcement Learning for Swarm Robotic Systems☆10Jun 2, 2022Updated 4 years ago
- ☆15Dec 7, 2021Updated 4 years ago
- This repository includes case study data and source code for the Informs Journal on Computing paper: Zolan, A., Scioletti, M., Morton, D.…☆10Feb 16, 2021Updated 5 years ago
- ☆20Nov 11, 2019Updated 6 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.
- DIgital Twin of Energy Storage System☆15Aug 31, 2026Updated last week
- This is a project using Pytorch to fulfill reinforcement learning on a simple game - Gridworld☆14Jul 13, 2020Updated 6 years ago
- A Deep Reinforcement Learning Strategy and Framework for Floating Waste Capture☆13Mar 13, 2025Updated last year
- RL for Energy Management of Microgrids☆11Mar 28, 2020Updated 6 years ago
- Codebase for the Graph-based Policy Learning algorithm, which is designed for learning policies to solve the open ad hoc teamwork problem…☆33Mar 31, 2021Updated 5 years ago
- Towards Robust Interpretability with Self-Explaining Neural Networks, Alvarez-Melis et al. 2018☆15Oct 28, 2019Updated 6 years ago
- A united toolbox for running major robustness verification approaches for DNNs. [S&P 2023]☆90Mar 24, 2023Updated 3 years ago