lchenat's Stars
voxel51/fiftyone
Refine high-quality datasets and visual AI models
dibyaghosh/gcsl
Code for "Learning to Reach Goals via Iterated Supervised Learning"
hoyeoplee/pytorch-maml
facebookresearch/WSL-Images
Weakly Supervised Learning On Images
FangchenLiu/map_planner
Code for 'Mapping State Space using Landmarks for Universal Goal Reaching'.
snasiriany/leap
Official codebase for LEAP: Planning with Goal Conditioned Policies
jayparks/transformer
A Pytorch Implementation of "Attention is All You Need" and "Weighted Transformer Network for Machine Translation"
shariqiqbal2810/MAAC
Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019
Sha-Lab/SynPo
Code Released for NeurIPS 2018 paper: Synthesized Policies for Transfer and Adaptation across Tasks and Environments
learnables/cherry
A PyTorch Library for Reinforcement Learning Research
tristandeleu/pytorch-maml-rl
Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch
allenai/savn
Learning to Learn how to Learn: Self-Adaptive Visual Navigation using Meta-Learning (https://arxiv.org/abs/1812.00971)
facebookresearch/habitat-sim
A flexible, high-performance 3D simulator for Embodied AI research.
ShangtongZhang/DistributedES
Distributed implementation of popular evolutionary methods
google-deepmind/bsuite
bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent
RenqinCai/SessionRec
Farama-Foundation/ViZDoom
Reinforcement Learning environments based on the 1993 game Doom :godmode:
facebookresearch/faiss
A library for efficient similarity search and clustering of dense vectors.
ShangtongZhang/DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
haarnoja/sac
Soft Actor-Critic
Kaixhin/Rainbow
Rainbow: Combining Improvements in Deep Reinforcement Learning
seba-1511/randopt
Streamlined machine learning experiment management.
tellapart/commandr
Tool that creates command line interfaces for functions automatically.
seba-1511/drl.pth
Implementation of Policy Gradient algorithms in PyTorch. (Sequential, Distributed sync + async)
lchenat/bash_tools
lchenat/gym_bullet
gym_bullet
rll/rllab
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
fxsjy/jieba
结巴中文分词