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Dong-Ki Kim's Projects

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

casl icon casl

TensorFlow Implementation of Crossmodal Attentive Skill Learner (CASL)

cavia icon cavia

Code for "Fast Context Adaptation via Meta-Learning"

deeprl icon deeprl

Highly modularized implementation of popular deep RL algorithms in PyTorch

further icon further

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

gumbel-rl-gridworld icon gumbel-rl-gridworld

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

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

gym-craftenv-render icon gym-craftenv-render

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

gym-wolfpack icon gym-wolfpack

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

lola icon lola

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

lola_dice icon lola_dice

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

maddpg icon maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

mctx icon mctx

Monte Carlo tree search in JAX

mer icon 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)

meta-mapg icon meta-mapg

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

mfrl icon mfrl

Mean Field Multi-Agent Reinforcement Learning

minigrid icon minigrid

Simple and easily configurable grid world environments for reinforcement learning

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