tuomaso / radial_rl_v2Links
This repository contains the official code for our NeurIPS 2021 publication "Robust Deep Reinforcement Learning through Adversarial Loss"
☆30Updated 3 years ago
Alternatives and similar repositories for radial_rl_v2
Users that are interested in radial_rl_v2 are comparing it to the libraries listed below
Sorting:
- Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework☆67Updated 4 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆48Updated 6 years ago
- [NeurIPS 2020, Spotlight] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"☆139Updated 4 years ago
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning☆28Updated 2 years ago
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆46Updated last year
- [S&P 2024] Replication Package for "Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets".☆31Updated 11 months ago
- ☆78Updated 2 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆69Updated 2 years ago
- An implementation of Constrained Policy Optimization (Achiam 2017) in PyTorch☆26Updated 5 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆81Updated 2 years ago
- Implementations of SAILR, PDO, and CSC☆31Updated last year
- [NeurIPS 2020 Spotlight] State-adversarial PPO for robust deep reinforcement learning☆31Updated 4 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆49Updated 3 years ago
- ☆14Updated last year
- Implementations of safe reinforcement learning algorithms☆29Updated last year
- [NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning☆34Updated 4 years ago
- Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022☆31Updated 2 years ago
- Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]☆74Updated 6 years ago
- Pytorch implementation of Multi-Agent Generative Adversarial Imitation Learning☆43Updated 3 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆67Updated 2 years ago
- Implementation of Robust Adversarial Reinforcement Learning☆14Updated 8 years ago
- Safe Reinforcement Learning in Constrained Markov Decision Processes☆61Updated 5 years ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆62Updated 2 years ago
- Pytorch implementation of InfoGAIL and WGAIL☆19Updated 3 years ago
- Generate expert demonstrations; GAIL(Generative Adversarial Imitation Learning); IRL(Inverse Reinforcement Learning)☆32Updated 4 years ago
- ☆42Updated 4 years ago
- Deep Learning (FS 2020)☆17Updated 3 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆70Updated last year
- Codes for Paper "Delay-Aware Model-Based Reinforcement Learning for Continuous Control".☆28Updated 5 years ago
- ☆49Updated 4 years ago