ShawnZL's Stars
rlcode/reinforcement-learning
Minimal and Clean Reinforcement Learning Examples
seungeunrho/minimalRL
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
ShangtongZhang/DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
pytorch/rl
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Lizhi-sjtu/MARL-code-pytorch
Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.
ShAw7ock/MPE-Multiagent-RL-Algos
Simple verification experiments codes for multi-agent RL using OpenAI MPE environment
OpenRL-Lab/openrl
Unified Reinforcement Learning Framework
facebookresearch/BenchMARL
A collection of MARL benchmarks based on TorchRL
google/minimalloc
A lightweight memory allocator for hardware-accelerated machine learning
opendilab/DI-engine
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
rravindt/Curiosity_Procastination
We have implemented the curiosity based RL model which deals with the noisy TV problem faced by it.
openai/random-network-distillation
Code for the paper "Exploration by Random Network Distillation"
google-deepmind/meltingpot
A suite of test scenarios for multi-agent reinforcement learning.
google-research/football
Check out the new game server:
TimeBreaker/MARL-papers-with-code
Multi-Agent Reinforcement Learning (MARL) papers with code
jcwleo/curiosity-driven-exploration-pytorch
Curiosity-driven Exploration by Self-supervised Prediction
kikojay/EMC
The code for paper, "Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration", NeurIPS 2021.
PKU-MARL/HARL
Official implementation of HARL algorithms based on PyTorch.
geek-ai/MAgent
A Platform for Many-Agent Reinforcement Learning
NVIDIAGameWorks/Falcor
Real-Time Rendering Framework
hijkzzz/noisy-mappo
Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)
skypilot-org/skypilot
SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 12+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.
OpenInterpreter/open-interpreter
A natural language interface for computers
Kaixhin/NoisyNet-A3C
Noisy Networks for Exploration
stone-zeng/fduthesis
LaTeX thesis template for Fudan University
anchit1704/GCN_RL_pytorch
Abluceli/GCN_RL
lsils/benchmarks
EPFL logic synthesis benchmarks
scale-lab/DRiLLS
DRiLLS: Deep Reinforcement Learning for Logic Synthesis Optimization (ASPDAC'20)
idea4good/GuiLite
✔️The smallest header-only GUI library(4 KLOC) for all platforms