mbchang/data-driven-characters
Generate chatbots from a corpus
C.S. Ph.D. student at UC Berkeley
Repositories
mbchang/mbchang.github.io
mbchang/decentralized-rl
Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)
mbchang/meta-prompt
A re-implementation of Meta-Prompt in LangChain for building self-improving agents.
mbchang/chat-tree
a chat ui organized as a tree
mbchang/minimal-bayesian-flow-networks
A minimal reproduction of the basic figures of the Bayesian Flow Networks paper for building intuition.
mbchang/dynamics
A Compositional Object-Based Approach to Learning Physical Dynamics
mbchang/crl
Automatically Composing Representation Transformations as a Means for Generalization
mbchang/awesome-ai-agents
A list of AI autonomous agents
mbchang/langchain
⚡ Building applications with LLMs through composability ⚡
mbchang/panel_simulation
A simulated panel discussion of the AI SF Summit https://aisf.co/
mbchang/latex-assistant
mbchang/ai-code-refactorer
Use AI to refactor code
mbchang/vercel-flask-example
Enjoy our curated collection of examples and solutions. Use these patterns to build your own robust and scalable applications.
mbchang/mbrl-lib
Library for Model Based RL
mbchang/deq
[NeurIPS'19] Deep Equilibrium Models
mbchang/kmeans_pytorch
pytorch implementation of basic kmeans algorithm(lloyd method with forgy initialization) with gpu support
mbchang/submitit
Python 3.6+ toolbox for submitting jobs to Slurm
mbchang/jax-iterative-inference
mbchang/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
mbchang/dreamerv2
Mastering Atari with Discrete World Models
mbchang/ImpSq
Implicit^2: Implicit model for implicit neural representations
mbchang/multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
mbchang/furniture
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks
mbchang/c-swm
Contrastive Learning of Structured World Models
mbchang/google-research
Google Research
mbchang/ravens
Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.
mbchang/rlkit
Collection of reinforcement learning algorithms
mbchang/deep_bisim4control
Learning Invariant Representations for Reinforcement Learning without Reconstruction
mbchang/dreamer-pytorch-yusukeurakami
pytorch-implementation of Dreamer (Model-based Image RL Algorithm)