EliaPiccoli

EliaPiccoli's Stars

• dair-ai/ML-YouTube-Courses

  📺 Discover the latest machine learning / AI courses on YouTube.

  16k371201.9k

• KindXiaoming/pykan

  Kolmogorov Arnold Networks

  Language:Jupyter Notebook15k1133991.4k

• dabeaz-course/python-mastery

  Advanced Python Mastery (course by @dabeaz)

  Language:Python10.7k83361.8k

• DLR-RM/stable-baselines3

  PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

  Language:Python9k641.5k1.7k

• PWhiddy/PokemonRedExperiments

  Playing Pokemon Red with Reinforcement Learning

  Language:Jupyter Notebook6.9k69114632

• vwxyzjn/cleanrl

  High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

  Language:Python5.6k36184636

• yuchenlin/rebiber

  A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

  Language:Python2.6k1529158

• takuseno/d3rlpy

  An offline deep reinforcement learning library

  Language:Python1.3k28342239

• PufferAI/PufferLib

  Simplifying reinforcement learning for complex game environments

  Language:Python1.2k51054

• Lightning-AI/lightning-thunder

  Make PyTorch models up to 40% faster! Thunder is a source to source compiler for PyTorch. It enables using different hardware executors at once; across one or thousands of GPUs.

  Language:Python1.2k3453677

• trevismd/statannotations

  add statistical significance annotations on seaborn plots. Further development of statannot, with bugfixes, new features, and a different API.

  Language:Python66868174

• araffin/robotics-rl-srl

  S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

  Language:Python611302591

• google-research/batch_rl

  Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games

  Language:Python533133875

• corl-team/CORL

  High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

  Language:Python47831020

• facebookresearch/salina

  a Lightweight library for sequential learning agents, including reinforcement learning

  Language:Python426121241

• aviralkumar2907/CQL

  Code for conservative Q-learning

  Language:Python40662070

• yihaosun1124/OfflineRL-Kit

  An elegant PyTorch offline reinforcement learning library for researchers.

  Language:Python27361133

• openrlbenchmark/openrlbenchmark

  Language:Python197769

• silverlight6/TFTMuZeroAgent

  Team fight tactics AI

  Language:Python13512435

• BY571/CQL

  PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and continuous action spaces.

  Language:Python1204723

• young-geng/CQL

  Conservative Q Learning on top of SAC

  Language:Python1195725

• facebookresearch/motif

  Intrinsic Motivation from Artificial Intelligence Feedback

  Language:Python1187314

• takuseno/d4rl-atari

  Datasets for data-driven deep reinforcement learning with Atari (wrapper for datasets released by Google)

  Language:Python10741414

• d3sm0/gym_pomdp

  Gym-like extensions for POMDP

  Language:Python555315

• mila-iqia/SGI

  Official code for "Pretraining Representations For Data-Efficient Reinforcement Learning" (NeurIPS 2021)

  Language:Python52649

• EU-TEACHING/teaching

  Language:Python39500

• corl-team/katakomba

  Data-Driven NetHack Tools: Datasets (30+) and recurrent-baselines (AWAC, BC, CQL, IQL, REM)

  Language:Python38002

• EU-TEACHING/teaching-ai-toolkit

  AI-Toolkit collecting and implementing the AI modules for a TEACHING application.

  Language:Python28405

• CommanderCero/NetPlay

  A LLM-powered agent for NetHack

  Language:Python6261

• princeton-nlp/il-scaling-in-games

  Official code repo of "Scaling Laws for Imitation Learning in Single-Agent Games"

  Language:Python650