chenhongge / SA_DQN
[NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning
☆34Updated 4 years ago
Alternatives and similar repositories for SA_DQN:
Users that are interested in SA_DQN are comparing it to the libraries listed below
- Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework☆63Updated 4 years ago
- [NeurIPS 2020, Spotlight] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"☆126Updated 3 years ago
- This repository contains the official code for our NeurIPS 2021 publication "Robust Deep Reinforcement Learning through Adversarial Loss…☆29Updated 3 years ago
- [NeurIPS 2020 Spotlight] State-adversarial PPO for robust deep reinforcement learning☆27Updated 3 years ago
- Replication Package for "Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets", IEEE S&P 2024.☆28Updated 2 months ago
- Pytorch Implementation for First Order Constrained Optimization in Policy Space (FOCOPS).☆26Updated 3 years ago
- Adversarial attacks on Deep Reinforcement Learning (RL)☆84Updated 4 years ago
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning☆24Updated last year
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆45Updated 3 months ago
- [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"☆58Updated last year
- An implementation of Constrained Policy Optimization (Achiam 2017) in PyTorch☆24Updated 4 years ago
- ☆16Updated 2 years ago
- Open source implementation of the TrojDRL algorithm presented in TrojDRL: Evaluation of backdoor attacks on Deep Reinforcement Learning☆18Updated 4 years ago
- Code for FOCAL Paper Published at ICLR 2021☆51Updated last year
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆71Updated last year
- Code for the NeurIPS 2023 Paper: Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Sta…☆21Updated last year
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆42Updated 5 years ago
- [AAAI 2023 Oral] Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition☆33Updated 9 months ago
- ☆127Updated 8 months ago
- Adversarial attacks in consensus-based multi-agent reinforcement learning☆22Updated 2 years ago
- (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.☆29Updated 3 years ago
- Code for Adapting Environment Sudden Changes by Learning Context Sensitive Policy☆20Updated 2 years ago
- ☆43Updated 4 years ago
- ☆43Updated 2 years ago
- Code for ICLR 2024 paper "Towards Robust Offline Reinforcement Learning under Diverse Data Corruption"☆15Updated 4 months ago
- Value-Decomposition Multi-Agent Actor-Critics☆40Updated 2 years ago
- pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"☆52Updated 2 years ago
- Code for NeurIPS 2022 paper "Robust offline Reinforcement Learning via Conservative Smoothing"☆18Updated 2 years ago
- Model-Based Offline Reinforcement Learning☆49Updated 4 years ago
- Official repository of the paper "FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning"☆21Updated 8 months ago