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Paper list of multi-agent reinforcement learning (MARL)
A tool for aggregating and plotting MARL experiment data.
🔋 Datasets with baselines for offline multi-agent reinforcement learning.
⚡ Flashbax: Accelerated Replay Buffers in JAX
🕹️ A diverse suite of scalable reinforcement learning environments in JAX
🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
MARL-Book's official codebase repo. www.marl-book.com
Deep Reinforcement Learning Hands-On, 3E_Published by Packt
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
T81-558: PyTorch - Applications of Deep Neural Networks @Washington University in St. Louis
I programmed a very fast autoclicker in C++
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
Implementation of Machine Learning algorithms from scratch in Python
PPO-based A2C agent with a Graph Instruction Encoder; evaluation of sample efficiency and generalisation on the BabyAI environment
Adaptation of DQN, DDQN and COMA for multi-agent Gym environments
hill-a / stable-baselines
Forked from openai/baselinesA fork of OpenAI Baselines, implementations of reinforcement learning algorithms
[EMNLP 2017] Code for "Natural Language Does Not Emerge 'Naturally' in Multi-Agent Dialog"
Deal or No Deal? End-to-End Learning for Negotiation Dialogues
Code for paper "Interactive Machine Comprehension with Information Seeking Agents" -- public version
Question Answering with Interactive Text (QAit), code for EMNLP 2019 paper "Interactive Language Learning by Question Answering"
BabyAI platform. A testbed for training agents to understand and execute language commands.
PyTorch code for Learning Cooperative Visual Dialog Agents using Deep Reinforcement Learning
Minimal fastai code needed for working with pytorch
A template for APA-style articles written in knitr / LaTeX
Lightweight multi-agent gridworld Gym environment