SRI-AIC / InterestingnessXRL
A python library for eXplainable Reinforcement Learning (XRL) based on the concept of interestingness elements.
☆20Updated 3 years ago
Alternatives and similar repositories for InterestingnessXRL:
Users that are interested in InterestingnessXRL are comparing it to the libraries listed below
- A python library for eXplainable Reinforcement Learning (XRL) based on the concept of interestingness elements.☆7Updated 4 years ago
- Partially Observable Process Gym☆178Updated 7 months ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆33Updated 2 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆101Updated 2 years ago
- Experiments with reinforcement learning and recurrent neural networks☆113Updated last year
- The Starcraft Multi-Agent challenge lite☆41Updated 5 months ago
- Distributional Soft Actor Critic☆51Updated 4 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆85Updated last year
- An unofficial implementation for online decision transformer☆39Updated 2 years ago
- Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline setting☆34Updated 4 years ago
- Official code of Nash-DQN for paper: Nash-DQN algorithm for two-player zero-sum Markov games, details see our paper: A Deep Reinforcement…☆19Updated 2 years ago
- 🤖 Elegant implementations of offline safe RL algorithms in PyTorch☆192Updated 5 months ago
- IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL☆36Updated 5 months ago
- Code for demonstration example-task in RUDDER blog☆22Updated 4 years ago
- A collection of pre-trained RL agents using Stable Baselines3☆122Updated 3 months ago
- Explainable Reinforcement Learning (XRL) Resources☆37Updated 4 months ago
- AGAC: Adversarially Guided Actor-Critic☆48Updated 3 years ago
- ☆18Updated 2 years ago
- Benchmarking RL generalization in an interpretable way.☆142Updated last week
- Prioritized Experience Replay implementation with proportional prioritization☆76Updated last year
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago
- Datasets with baselines for offline multi-agent reinforcement learning.☆161Updated this week
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆162Updated 2 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆173Updated 2 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆38Updated 4 years ago
- Pytorch GAIL VAIL AIRL VAIRL EAIRL SQIL Implementation☆63Updated 3 years ago
- Code for Shapley values for explaining reinforcement learning. XRL feature-influence method.☆20Updated last year
- Transformers are Meta-Reinforcement Learners - International Conference on Machine Learning (ICML) 2022☆59Updated last year
- Official implementation of the algorithmic approach presented in the research paper entitled "Risk-Sensitive Policy with Distributional R…☆15Updated 2 years ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆91Updated 5 months ago