jerinphilip / robust-adversarial-rlLinks
Implementation of Robust Adversarial Reinforcement Learning
☆13Updated 7 years ago
Alternatives and similar repositories for robust-adversarial-rl
Users that are interested in robust-adversarial-rl are comparing it to the libraries listed below
Sorting:
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆48Updated 6 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- Implementations of SAILR, PDO, and CSC☆31Updated last year
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning☆26Updated last year
- Tensorflow implementation for Robust Adversarial Reinforcement Learning: https://arxiv.org/pdf/1703.02702.pdf☆28Updated 7 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆46Updated 3 years ago
- ☆84Updated 6 years ago
- ☆75Updated last year
- ☆48Updated 2 years ago
- This repository contains the official code for our NeurIPS 2021 publication "Robust Deep Reinforcement Learning through Adversarial Loss…☆30Updated 3 years ago
- ☆99Updated 2 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- Safe Reinforcement Learning in Constrained Markov Decision Processes☆60Updated 5 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆70Updated 2 years ago
- Gym-like extensions for POMDP☆57Updated 4 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 2 years ago
- Distributional Soft Actor Critic☆58Updated 5 years ago
- Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline setting☆35Updated 4 years ago
- Codes accompanying the paper "Influence-Based Multi-Agent Exploration" (ICLR 2020 spotlight)☆32Updated 5 years ago
- DecentralizedLearning☆25Updated 2 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆73Updated 2 years ago
- Author's PyTorch implementation of LAP and PAL with TD3 and DDQN☆36Updated 3 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆172Updated 9 months ago
- Source code for "A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning" (ICML 2021)☆33Updated 2 years ago
- [NeurIPS 2020, Spotlight] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"☆135Updated 3 years ago
- ☆43Updated 4 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆104Updated 3 years ago
- Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]☆72Updated 6 years ago
- ☆92Updated last year
- An implementation of Constrained Policy Optimization (Achiam 2017) in PyTorch☆26Updated 5 years ago