Safe-RL-Team / viper-verifiable-rl-implLinks
Implementation of the VIPER algorithm introduced in "Verifiable Reinforcement Learning via Policy Extraction" by Bastani et al.
☆16Updated last year
Alternatives and similar repositories for viper-verifiable-rl-impl
Users that are interested in viper-verifiable-rl-impl are comparing it to the libraries listed below
Sorting:
- A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges☆246Updated 6 months ago
- Multi-Objective Reinforcement Learning☆283Updated 4 years ago
- Code snippets of Meta Reinforcement Learning algorithms☆38Updated last year
- multi-agent deep reinforcement learning for networked system control.☆422Updated 4 years ago
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆163Updated 2 years ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆622Updated 11 months ago
- A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm☆355Updated 4 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆648Updated 5 years ago
- Multi-Agent Reinforcement Learning (MARL) papers☆272Updated 2 years ago
- The pytorch implementation of DGN on grid world and Starcraft☆145Updated 3 years ago
- Multi-Agent Reinforcement Learning (MARL) papers with code☆389Updated 2 years ago
- PyTorch implementation of SAC-Discrete.☆308Updated last year
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆99Updated 2 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆219Updated 6 years ago
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆348Updated 5 years ago
- A plotter for reinforcement learning (RL)☆229Updated 3 years ago
- Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51☆308Updated 5 years ago
- Multi-Objective Reinforcement Learning algorithms implementations.☆421Updated last week
- A collection of offline reinforcement learning algorithms.☆197Updated 9 months ago
- Code for Weighted QMIX☆138Updated 4 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆763Updated 3 years ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆493Updated 2 years ago
- ☆40Updated 3 years ago
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆644Updated 3 years ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆213Updated 2 years ago
- ☆216Updated 2 years ago
- ☆262Updated last year
- PyTorch implementation of Constrained Policy Optimization☆55Updated 3 years ago
- Adversarial attacks on Deep Reinforcement Learning (RL)☆93Updated 4 years ago
- Mean Field Multi-Agent Reinforcement Learning☆403Updated 5 years ago