Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework
☆68Jan 26, 2021Updated 5 years ago
Alternatives and similar repositories for ATLA_robust_RL
Users that are interested in ATLA_robust_RL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [NeurIPS 2020, Spotlight] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"☆140Nov 16, 2021Updated 4 years ago
- This repository contains the official code for our NeurIPS 2021 publication "Robust Deep Reinforcement Learning through Adversarial Loss…☆33Jan 21, 2022Updated 4 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆48Apr 14, 2019Updated 6 years ago
- Code for ICLR 2022 publication: Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL. https://openreview…☆10Aug 31, 2024Updated last year
- [NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning☆35Feb 22, 2021Updated 5 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.
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning☆28Sep 13, 2023Updated 2 years ago
- Code used in our paper "Robust Deep Reinforment Learning through Adversarial Loss"☆33Oct 3, 2023Updated 2 years ago
- [NeurIPS 2020 Spotlight] State-adversarial PPO for robust deep reinforcement learning☆30Nov 18, 2021Updated 4 years ago
- Attack AlphaZero Go agents (NeurIPS 2022)☆22Dec 3, 2022Updated 3 years ago
- ☆26Mar 24, 2023Updated 3 years ago
- Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022☆32Jun 2, 2023Updated 2 years ago
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆46Dec 10, 2024Updated last year
- [NeurIPS 2020] Code for "An Efficient Adversarial Attack for Tree Ensembles"☆23Jun 6, 2021Updated 4 years ago
- Robust Multi-Agent Reinforcement Learning with State Uncertainty☆12May 30, 2023Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code for the NeurIPS 2023 Paper: Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Sta…☆30Oct 29, 2023Updated 2 years ago
- Code of On L-p Robustness of Decision Stumps and Trees, ICML 2020☆10Aug 3, 2020Updated 5 years ago
- ☆20May 1, 2024Updated last year
- ☆18Jul 25, 2024Updated last year
- Code for Stability Training with Noise (STN)☆22Dec 27, 2020Updated 5 years ago
- Communication-efficient MARL for CACC☆27Aug 7, 2023Updated 2 years ago
- Resilient Model-Based RL by Regularizing Posterior Predictability☆22Mar 4, 2024Updated 2 years ago
- Benchmarks for the VNN Comp 2023☆16Jun 7, 2024Updated last year
- Robust and safe deep reinforcement learning algorithms☆17Mar 27, 2024Updated 2 years ago
- 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.
- Find best-response to a fixed policy in multi-agent RL☆288Apr 1, 2022Updated 3 years ago
- Pytorch code for "Learning Guidance Rewards with Trajectory-space Smoothing" (NeurIPS 2020)☆12Jul 7, 2021Updated 4 years ago
- The library for symbolic interval☆22Jun 23, 2020Updated 5 years ago
- Implementation of Robust Adversarial Reinforcement Learning☆14Nov 27, 2017Updated 8 years ago
- [ICML 2022] Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum☆11Jul 15, 2022Updated 3 years ago
- Implementation and evaluation of Almanac (Automaton/Logic Multi-Agent Natural Actor-Critic), an algorithm for multi-agent reinforcement l…☆10May 5, 2022Updated 3 years ago
- auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs☆340Feb 3, 2026Updated last month
- Adversarial Reinforcement Learning papers (single-agent setting and multi-agent setting)☆76Sep 5, 2022Updated 3 years ago
- [Neurocomputing, 2023] Personalized Robotic Control via Constrained Multi-Objective Reinforcement Learning☆29Dec 25, 2023Updated 2 years ago
- 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 associated with our paper "Robust Domain Randomization for Reinforcement Learning"☆12Nov 22, 2022Updated 3 years ago
- Convergent Policy Optimization for Safe Reinforcement Learning☆11Oct 26, 2019Updated 6 years ago
- ☆15Jun 1, 2023Updated 2 years ago
- ☆17Aug 2, 2022Updated 3 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆662Apr 6, 2021Updated 4 years ago
- Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding (RSS 2021)☆12Oct 22, 2021Updated 4 years ago
- Targeted black-box adversarial attack using Bayesian Optimization☆38Jun 14, 2020Updated 5 years ago