dkkim93

meta-mapg

Source code for "A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning" (ICML 2021)

further

Source code for "Influencing Long-Term Behavior in Multiagent Reinforcement Learning" (NeurIPS 2022)

mape-tutorial

Tutorial for multi-agent particle environment

gumbel-rl-gridworld

The use of Gumbel-softmax for a single agent reinforcement learning in a simple gridworld

gym-wolfpack

Implementation of wolfpack domain as in Leibo et al., AAMAS-17

dkkim93.github.io.old

dkkim93.github.io

Dong-Ki Kim's Academic Webpage

cavia

Code for "Fast Context Adaptation via Meta-Learning"

common

gym

A toolkit for developing and comparing reinforcement learning algorithms.

gym-craftenv-render

code for rendering the craft environment in "Modular Multitask Reinforcement Learning with Policy Sketches" (Andreas, Klein, Levine. ICML 2017)

hyper-centralized-learning

lola

Code release for Learning with Opponent-Learning Awareness and variations.

LOLA_DiCE

Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)

mctx

Monte Carlo tree search in JAX

MER

Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from the ICLR 2019 paper (https://openreview.net/pdf?id=B1gTShAct7)

mer-sac

Minigrid

Simple and easily configurable grid world environments for reinforcement learning

multiagent-competition

Code for the paper "Emergent Complexity via Multi-agent Competition"

multiagent-particle-envs

PettingZoo

Gym for multi-agent reinforcement learning

PPO-PyTorch

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

pytorch-maml-rl

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

safety-starter-agents

Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.

spinningup

An educational resource to help anyone learn deep reinforcement learning.

SuperSuit

Easy-to-use micro-wrappers for Gym and PettingZoo based RL Environments

trl

Train transformer language models with reinforcement learning.

ubuntu-misc

Personal ubuntu misc files (e.g., zshrc, vimrc, flake8, terminator)

website