nuwuxian / RL_adv_valuediffLinks
☆17Updated 2 years ago
Alternatives and similar repositories for RL_adv_valuediff
Users that are interested in RL_adv_valuediff are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2020, Spotlight] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"☆137Updated 3 years ago
- Adversarial attacks on Deep Reinforcement Learning (RL)☆97Updated 4 years ago
- Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework☆68Updated 4 years ago
- Adversarial attacks in consensus-based multi-agent reinforcement learning☆25Updated 2 years ago
- [S&P 2024] Replication Package for "Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets".☆30Updated 10 months ago
- [NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning☆34Updated 4 years ago
- This repository contains the official code for our NeurIPS 2021 publication "Robust Deep Reinforcement Learning through Adversarial Loss…☆30Updated 3 years ago
- [NeurIPS 2020 Spotlight] State-adversarial PPO for robust deep reinforcement learning☆31Updated 3 years ago
- (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.☆28Updated 3 years ago
- Open source implementation of the TrojDRL algorithm presented in TrojDRL: Evaluation of backdoor attacks on Deep Reinforcement Learning☆19Updated 5 years ago
- ☆122Updated 2 years ago
- ♊ Minimal PyTorch Twin Delayed DDPG (TD3) implementation☆10Updated 4 years ago
- ☆17Updated 2 years ago
- ☆14Updated 3 years ago
- A deep reinforcement learning multi-agent algorithm, where a team learns to complete a task and communicate between agents.☆16Updated 4 years ago
- [NeurIPS 2020] PyTorch implementation of "Learning Implicit Credit Assignment for Cooperative Muti-Agent Reinforcement Learning"☆60Updated last year
- This is the code for Q-value Path Decomposition for Deep Multiagent Reinforcement Learning (NeurIPS 2019).☆12Updated 6 years ago
- Adversarial Reinforcement Learning papers (single-agent setting and multi-agent setting)☆74Updated 3 years ago
- ☆29Updated 4 years ago
- Deep Learning (FS 2020)☆17Updated 3 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆106Updated 3 years ago
- pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"☆53Updated 2 years ago
- pytorch实现的一些MARL算法☆68Updated 4 years ago
- jinxinglim / Game-Theoretical-Approaches-in-Multi-Agent-Reinforcement-Learning-Policy-Space-Response-Oracles☆15Updated 6 years ago
- ☆76Updated 6 years ago
- ☆89Updated 4 years ago
- Represented Value Function Approach for Large Scale Multi Agent Reinforcement Learning☆16Updated 5 years ago
- [AAAI 2023 Oral] Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition☆36Updated last year
- Value-Decomposition Multi-Agent Actor-Critics☆40Updated 2 years ago
- Implementation for mSAC methods in PyTorch☆42Updated 4 years ago