Peihong Yu's repositories
multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Artificial-Intelligence-Berkeley-CS188
Learned about search problems (A*, CSP, minimax), reinforcement learning, bayes nets, hidden markov models, and machine learning
dm2
This is the codebase for the paper, "DM2: Distributed Multi-Agent Reinforcement Learning via Distribution Matching".
epymarl
An extension of the PyMARL codebase that includes additional algorithms and environment support
gym-minigrid
Minimalistic gridworld package for OpenAI Gym
LightFieldRenderer
A Cubic Light Field Renderer
PPO-PyTorch
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
maml_rl
Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
MRN
Official codebase for "Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning" (NeurIPS 2022).
NDQ
Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)
peihongyu.com-neat
a compact person website template from https://github.com/yaoyao-liu/minimal-light
surreal
Open-Source Distributed Reinforcement Learning Framework by Stanford Vision and Learning Lab
UCB_CS285_homework_fall2020
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)