cheryyunl Goto Github PK
Name: Cheryl Liang
Type: User
Bio: Reinforcement Learning, Interactive Learning System
Location: Toronto
Name: Cheryl Liang
Type: User
Bio: Reinforcement Learning, Interactive Learning System
Location: Toronto
Codification used for the AAMAS-17 paper "Simultaneously Learning and Advising in Multiagent Reinforcement Learning"
A C++ framework for MDPs and POMDPs with Python bindings
Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework
Deep Recurrent Attention Reinforcement Learning in Atari
A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.
some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Cooperative Multi-Agent Learning》
DrM, a visual RL algorithm, minimizes the dormant ratio to guide exploration-exploitation trade-offs, achieving significant improvements in sample efficiency and asymptotic performance across diverse domains.
Assignments for CS294-112.
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Paper list of multi-agent reinforcement learning (MARL)
Mean Field Multi-Agent Reinforcement Learning
Models and examples built with TensorFlow
Moon is a minimal, one column jekyll theme.
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
We introduce a novel approach for parameter generation, named neural network diffusion (\textbf{p-diff}, p stands for parameter), which employs a standard latent diffusion model to synthesize a new set of parameters
Deep RL Code for XDO: A Double Oracle Algorithm for Extensive-Form Games
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)
A new paper list for multi-agent reinforcement learning (actively maintained)
MDPs and POMDPs in Julia - An interface for defining, solving, and simulating discrete and continuous, fully and partially observable Markov decision processes.
A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)
Model summary in PyTorch similar to `model.summary()` in Keras
Solving POMDP using Recurrent networks
Code for robust trainer on MuJoCo
[NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.