rssalessio / reading-listLinks
This is a collection of interesting papers that I have read so far or want to read. Note that the list is not up-to-date. Topics: reinforcement learning, deep learning, mathematics, statistics, bandit algorithms, optimization.
☆11Updated 6 months ago
Alternatives and similar repositories for reading-list
Users that are interested in reading-list are comparing it to the libraries listed below
Sorting:
- ☆21Updated 2 years ago
- Link to paper: https://www.ssrn.com/abstract=3804655☆14Updated 4 years ago
- Reinforcement Learning Environments for Sustainable Energy Systems☆56Updated last month
- A library for mean-field games.☆55Updated last week
- ☆26Updated last year
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆145Updated 2 years ago
- CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning☆15Updated last year
- Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms☆46Updated last year
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020☆45Updated 4 years ago
- PyTorch Implementation of Hamilton-Jacobi DQN☆16Updated 4 years ago
- ☆20Updated 9 months ago
- This repository contains the code for RL for POMDPs through learning an Approximate Information State.☆21Updated 4 years ago
- IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL☆44Updated last week
- Implementation of Robust Reinforcement Learning using Offline Data [NeurIPS'22]☆23Updated 11 months ago
- ☆14Updated last year
- This repository contains the code for Diversity Control (DiCo), a novel method to constrain behavioral diversity in multi-agent reinforce…☆26Updated 10 months ago
- Code base for NeurIPS 2022 paper Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation.☆11Updated 2 years ago
- Deep Q-Network (DQN) and Fitted Q-Iteration (FQI) tutorial for RL Summer School 2023☆83Updated 3 weeks ago
- Contains implementation of the FILTER algorithm for exponentially faster inverse reinforcement learning.☆51Updated 2 years ago
- ☆33Updated 4 years ago
- ☆189Updated 3 weeks ago
- Stochastic Optimal Control and Reachability Toolbox Written in Python☆15Updated 2 years ago
- Actor-Sharer-Learner training framework for off-policy DRL algorithms☆21Updated 9 months ago
- Introduction to Gaussian Processes☆29Updated 7 years ago
- Official implementation of the algorithmic approach presented in the research paper entitled "Risk-Sensitive Policy with Distributional R…☆15Updated 2 years ago
- ☆18Updated last year
- Stable-Baselines3 (SB3) reinforcement learning tutorial for the Reinforcement Learning Virtual School 2021.☆57Updated 2 years ago
- ICML paper on Shapley Values for Explaining Reinforcement Learning. XRL feature-influence method.☆20Updated last year
- Robust Multi-Agent Reinforcement Learning with State Uncertainty☆13Updated 2 years ago
- Enforcing robust control guarantees within neural network policies☆55Updated 4 years ago