YetAnotherPolicy

YetAnotherPolicy's Stars

• David-Durst/csknow

  You CSGO, but do you CSKnow?

  Language:C++394

• MLNLP-World/Paper-Picture-Writing-Code

  MLNLP: Paper Picture Writing Code

  Language:TeX1k112

• danijar/npgame

  Write simple games in Numpy!

  Language:Python121

• MineDojo/MineDojo

  Building Open-Ended Embodied Agents with Internet-Scale Knowledge

  Language:Java1.7k154

• younggyoseo/MWM

  Masked World Models for Visual Control

  Language:Python1139

• facebookresearch/dcd

  Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.

  Language:Python12125

• instadeepai/fastpbrl

  Vectorization techniques for fast population-based training.

  Language:Python524

• tjuHaoXiaotian/pymarl3

  We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enhanced algorithm achieves 100% win rates on SMAC-V1 and superior performance on SMAC-V2.

  Language:Python12112

• sail-sg/envpool

  C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.

  Language:C++1.1k99

• opendilab/awesome-model-based-RL

  A curated list of awesome model based RL resources (continually updated)

  85746

• markkho/value-guided-construal

  Code and data for People construct simplified mental representations to plan

  Language:Jupyter Notebook213

• MishaLaskin/curl

  CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

  Language:Python56887

• danijar/crafter

  Benchmarking the Spectrum of Agent Capabilities

  Language:Python37060

• Svalorzen/AI-Toolbox

  A C++ framework for MDPs and POMDPs with Python bindings

  Language:C++64698

• google-deepmind/mctx

  Monte Carlo tree search in JAX

  Language:Python2.3k189

• IouJenLiu/AFK

  Language:Python161

• salesforce/warp-drive

  Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)

  Language:Python45079

• danijar/dreamerv2

  Mastering Atari with Discrete World Models

  Language:Python886195

• diambra/arena

  DIAMBRA Arena: a New Reinforcement Learning Platform for Research and Experimentation

  Language:Python30822

• google-deepmind/meltingpot

  A suite of test scenarios for multi-agent reinforcement learning.

  Language:Python577116

• katerakelly/pytorch-maml

  PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400

  Language:Jupyter Notebook553129

• ray-project/ray

  Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  Language:Python32.8k5.6k

• Bam4d/Griddly

  A grid-world game engine for game AI research

  Language:C++23524

• google-deepmind/dqn_zoo

  DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (DQN) agent.

  Language:Python44877

• ds4dm/ecole

  Extensible Combinatorial Optimization Learning Environments

  Language:C++31669

• YangRui2015/AWGCSL

  Code for ICLR 2022 paper Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL.

  Language:Python262

• uoe-agents/derl

  The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)

  Language:Python244

• rraileanu/idaac

  Language:Python5314

• starry-sky6688/MARL-Algorithms

  Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

  Language:Python1.4k279

• automl/NASLib

  NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.

  Language:Python510116