huanzhang12 / ATLA_robust_RLView external linksLinks
Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework
☆67Jan 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
Sorting:
- [NeurIPS 2020, Spotlight] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"☆139Nov 16, 2021Updated 4 years ago
- This repository contains the official code for our NeurIPS 2021 publication "Robust Deep Reinforcement Learning through Adversarial Loss…☆30Jan 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 PPO for robust deep reinforcement learning☆30Nov 18, 2021Updated 4 years ago
- Code used in our paper "Robust Deep Reinforment Learning through Adversarial Loss"☆33Oct 3, 2023Updated 2 years ago
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning☆28Sep 13, 2023Updated 2 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Mar 27, 2021Updated 4 years ago
- Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022☆32Jun 2, 2023Updated 2 years ago
- Attack AlphaZero Go agents (NeurIPS 2022)☆22Dec 3, 2022Updated 3 years ago
- Robust Multi-Agent Reinforcement Learning with State Uncertainty☆13May 30, 2023Updated 2 years ago
- Code for the NeurIPS 2023 Paper: Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Sta…☆28Oct 29, 2023Updated 2 years ago
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆46Dec 10, 2024Updated last year
- ☆18Jul 25, 2024Updated last year
- ☆20May 1, 2024Updated last year
- Interval attacks (adversarial ML)☆21Jun 17, 2019Updated 6 years ago
- Resilient Model-Based RL by Regularizing Posterior Predictability☆22Mar 4, 2024Updated last year
- 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
- [NeurIPS 2020] Code for "An Efficient Adversarial Attack for Tree Ensembles"☆23Jun 6, 2021Updated 4 years ago
- [Neurocomputing, 2023] Personalized Robotic Control via Constrained Multi-Objective Reinforcement Learning☆29Dec 25, 2023Updated 2 years ago
- Code of On L-p Robustness of Decision Stumps and Trees, ICML 2020☆10Aug 3, 2020Updated 5 years ago
- Implementation of ICML 2023 paper: Future-conditioned Unsupervised Pretraining for Decision Transformer☆29Jul 25, 2023Updated 2 years ago
- Communication-efficient MARL for CACC☆27Aug 7, 2023Updated 2 years ago
- Pytorch code for "Learning Guidance Rewards with Trajectory-space Smoothing" (NeurIPS 2020)☆12Jul 7, 2021Updated 4 years ago
- [ICML 2022] Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum☆10Jul 15, 2022Updated 3 years ago
- Fourth edition of VNN COMP (2023)☆16Apr 12, 2023Updated 2 years ago
- Code associated with our paper "Robust Domain Randomization for Reinforcement Learning"☆12Nov 22, 2022Updated 3 years ago
- Code for Stability Training with Noise (STN)☆22Dec 27, 2020Updated 5 years ago
- Adversarial Reinforcement Learning papers (single-agent setting and multi-agent setting)☆76Sep 5, 2022Updated 3 years ago
- Code base for paper: Reparameterized Policy Learning for Multimodal Trajectory Optimization☆27Jul 19, 2023Updated 2 years ago
- Reference implementations for RecurJac, CROWN, FastLin and FastLip (Neural Network verification and robustness certification algorithms)…☆27Nov 23, 2019Updated 6 years ago
- This repo support auto line plot for multi-seed event file from TensorBoard☆12Jun 23, 2022Updated 3 years ago
- ☆15Jun 1, 2023Updated 2 years ago
- A framework to train language models to learn invariant representations.☆14Jan 24, 2022Updated 4 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆14Aug 25, 2023Updated 2 years ago
- Convergent Policy Optimization for Safe Reinforcement Learning☆11Oct 26, 2019Updated 6 years ago
- Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding (RSS 2021)☆12Oct 22, 2021Updated 4 years ago
- ☆19Dec 25, 2024Updated last year
- Benchmarks for the VNN Comp 2023☆16Jun 7, 2024Updated last year