dkkim93

dkkim93's Stars

• shariqiqbal2810/MAAC

  Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019

  Language:Python666172

• mxgmn/WaveFunctionCollapse

  Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics

  Language:C#23.2k1.2k

• alexis-jacq/LOLA_DiCE

  Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)

  Language:Python9015

• google-deepmind/bsuite

  bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent

  Language:Python1.5k181

• chingyaoc/pytorch-REINFORCE

  PyTorch Implementation of REINFORCE for both discrete & continuous control

  Language:Python26451

• jtorde/uav_trajectory_optimizer

  Efficient C++ solver to generate trajectories for UAVs

  Language:C5118

• cbschaff/nlimb

  Language:Python205

• lanpa/tensorboardX

  tensorboard for pytorch (and chainer, mxnet, numpy, ...)

  Language:Python7.9k865

• mit-aera/Blackbird-Dataset

  Language:Python12024

• dgriff777/a3c_continuous

  A continuous action space version of A3C LSTM in pytorch plus A3G design

  Language:Python25859

• openai/multiagent-particle-envs

  Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

  Language:Python2.3k785

• sfujim/TD3

  Author's PyTorch implementation of TD3 for OpenAI gym tasks

  Language:Python1.7k434

• tristandeleu/pytorch-maml-rl

  Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

  Language:Python822157

• cbfinn/maml_rl

  Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

  Language:Python618180

• cbfinn/maml

  Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

  Language:Python2.5k605

• shariqiqbal2810/maddpg-pytorch

  PyTorch Implementation of MADDPG (Lowe et. al. 2017)

  Language:Python560128

• ShangtongZhang/DeepRL

  Modularized Implementation of Deep RL Algorithms in PyTorch

  Language:Python3.2k679

• geek-ai/MAgent

  A Platform for Many-Agent Reinforcement Learning

  Language:Python1.7k332

• keras-rl/keras-rl

  Deep Reinforcement Learning for Keras.

  Language:Python5.5k1.4k

• tambetm/gym-minecraft

  Minecraft environment for Open AI Gym, based on Microsoft's Malmo.

  Language:Python27229

• dgriff777/rl_a3c_pytorch

  A3C LSTM Atari with Pytorch plus A3G design

  Language:Python563119

• asappresearch/emergent-comms-negotiation

  Reproduce ICLR2018 submission "Emergent Communication through Negotiation"

  Language:Python178

• facebookresearch/end-to-end-negotiator

  Deal or No Deal? End-to-End Learning for Negotiation Dialogues

  Language:Python1.4k277

• jannerm/spatial-reasoning

  Code for the paper "Representation Learning for Grounded Spatial Reasoning"

  Language:Python5214

• mit-aera/OptiTrack-Motive-2-Client

  ROS and LCM drivers for OptiTrack's Motive 2 software. Optimized for tracking aerial drones. Runs on Ubuntu Linux.

  Language:C++1913

• florensacc/snn4hrl

  Stochastic Neural Networks for Hierarchical Reinforcement Learning

  Language:Python9516

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python82.6k22.2k

• facebookarchive/CommNet

  Neural network model, suitable for multi-agent learning. https://arxiv.org/abs/1605.07736

  Language:Lua21359

• mit-aera/FlightGoggles

  A framework for photorealistic hardware-in-the-loop agile flight simulation using Unity3D and ROS. Developed by MIT AERA group.

  Language:C++39799

• wwxFromTju/deepmind_MAS_enviroment

  some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Cooperative Multi-Agent Learning》

  Language:Python12925