rssalessio / reading-list
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 last year
Alternatives and similar repositories for reading-list:
Users that are interested in reading-list are comparing it to the libraries listed below
- Official implementation of the algorithmic approach presented in the research paper entitled "Risk-Sensitive Policy with Distributional R…☆15Updated 2 years ago
- ☆21Updated last year
- Code base for NeurIPS 2022 paper Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation.☆9Updated last year
- ☆19Updated 7 months ago
- Model-Based Uncertainty in Value Functions (AISTATS2023)☆18Updated last year
- ☆40Updated 2 weeks ago
- OpenAI Gym environment designed for training RL agents to control the flight of a two-dimensional drone.☆47Updated 2 years ago
- IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL☆36Updated 4 months ago
- ☆17Updated last week
- Enforcing robust control guarantees within neural network policies☆54Updated 3 years ago
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆9Updated last month
- The repository is intended as a support tool for the report of the project "Sim to Real transfer of Reinforcement Learning Policies in Ro…☆13Updated last year
- Codebase for Model-Based Meta-Reinforcement Learning for Flight with Suspended Payloads paper. Website: https://sites.google.com/view/met…☆30Updated 2 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆64Updated last year
- Modular Single-file Reinfocement Learning Algorithms Library☆37Updated last year
- This project is a pipeline that connects a Matlab simulation (Simulink) to an OpenAI Gym wrapper for PyTorch Reinforcement Learning using…☆13Updated 7 months ago
- Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms☆33Updated 9 months ago
- Official code for "A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning"☆14Updated last year
- Robust and safe deep reinforcement learning algorithms☆10Updated 9 months ago
- This repository contains the code for RL for POMDPs through learning an Approximate Information State.☆20Updated 3 years ago
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆18Updated 3 years ago
- PyTorch implementation of (Deep) Reinforcement Learning (RL) algorithms☆22Updated 2 years ago
- Curricular Subgoal for Inverse Reinforcement Learning☆13Updated last year
- Stable-Baselines3 (SB3) reinforcement learning tutorial for the Reinforcement Learning Virtual School 2021.☆52Updated last year
- Model Predictive Actor-Critic Reinforcement Learning☆56Updated 3 years ago
- A collection of environments and reference agents for planning and reinforcement learning research in partially observable, multi-agent …☆18Updated 2 months ago
- [IROS 22'] Model-free Neural Lyapunov Control☆21Updated last year
- ☆10Updated last year
- Heterogeneous Multi-Robot Reinforcement Learning☆38Updated 4 months ago
- JAX and PZ RL envs + algorithms for swarms of CrazyFlies☆69Updated 4 months ago