huanzhang12 / SA_PPO
[NeurIPS 2020 Spotlight] State-adversarial PPO for robust deep reinforcement learning
☆27Updated 3 years ago
Alternatives and similar repositories for SA_PPO
Users that are interested in SA_PPO are comparing it to the libraries listed below
Sorting:
- Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework☆64Updated 4 years 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] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"☆129Updated 3 years ago
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning☆24Updated last year
- Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)☆18Updated 3 years ago
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆46Updated 5 months ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆44Updated 6 years ago
- (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.☆28Updated 3 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- Pytorch Implementation for First Order Constrained Optimization in Policy Space (FOCOPS).☆26Updated 3 years ago
- Codebase for BRDiv: Diverse teammate generation for ad hoc teamwork☆13Updated last year
- Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022☆27Updated last year
- Value-Decomposition Multi-Agent Actor-Critics☆40Updated 2 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆75Updated last year
- Replication Package for "Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets", IEEE S&P 2024.☆28Updated 4 months ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆46Updated 3 years ago
- Code for the NeurIPS 2023 Paper: Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Sta…☆24Updated last year
- Official Implementation for Quality-Similar Diversity via Population Based Reinforcement Learning☆17Updated 2 years ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆36Updated 2 months ago
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆48Updated last year
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- Robust Reinforcement Learning Benchmark☆10Updated 7 months ago
- TensorFlow implementation of "A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Le…☆16Updated 2 years ago
- Implementation of CoDAIL in the ICLR 2020 paper <Multi-Agent Interactions Modeling with Correlated Policies>☆18Updated 3 years ago
- Learning Individual Intrinsic Reward in MARL☆62Updated 2 years ago
- ☆28Updated 3 years ago
- Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…☆74Updated 2 years ago
- Code for Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games☆20Updated 3 years ago