djeb20 / SVERL_icml_2023
ICML paper on Shapley Values for Explaining Reinforcement Learning. XRL feature-influence method.
☆19Updated last year
Alternatives and similar repositories for SVERL_icml_2023:
Users that are interested in SVERL_icml_2023 are comparing it to the libraries listed below
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆62Updated last year
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆36Updated 2 months ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆33Updated 2 years ago
- Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning☆12Updated last year
- IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL☆41Updated 8 months ago
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆48Updated last year
- DecentralizedLearning☆24Updated 2 years ago
- ☆18Updated 2 years ago
- Code for the paper: "Causal Influence Detection for Improving Efficiency in Reinforcement Learning", by Seitzer, M., Schölkopf, B., Marti…☆42Updated 3 years ago
- Benchmarked implementations of Offline RL Algorithms.☆72Updated 2 months ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 6 months ago
- Prioritized Experience Replay implementation with proportional prioritization☆77Updated last year
- Experiment code for testing effect of various action space transformations in reinforcement learning☆30Updated 4 years ago
- The Starcraft Multi-Agent challenge lite☆42Updated 7 months ago
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆46Updated last year
- A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers☆51Updated 2 years ago
- Codebase for BRDiv: Diverse teammate generation for ad hoc teamwork☆13Updated last year
- Multi-Agent Deep Reinforcement Learning by using Asynchronous & Impala Proximal Policy Optimization in Pytorch with some explanation☆36Updated 4 years ago
- ☆32Updated 9 months ago
- OpenAi's gym environment wrapper to vectorize them with Ray☆22Updated last year
- Official code of Nash-DQN for paper: Nash-DQN algorithm for two-player zero-sum Markov games, details see our paper: A Deep Reinforcement…☆20Updated 2 years ago
- Official codebase for paper "Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning" (ICML22)☆22Updated 2 years ago
- (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.☆28Updated 3 years ago
- Fast and flexible multi-agent gridworld reinforcement learning environments.☆43Updated last month
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020☆41Updated 4 years ago
- Dual optimization to learn laplacian eigenpairs in arbitrary spaces☆13Updated 4 months ago
- Model-Based Offline Reinforcement Learning☆50Updated 4 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆46Updated 3 years ago
- ☆16Updated 9 months ago
- Implementation of HindSight Experience Replay paper with Pytorch☆29Updated 4 years ago