jk-cim

al-folio

A beautiful Jekyll theme for academics

arxiv-style

A Latex style and template for paper preprints (based on NIPS style)

banana-gym

A simple stochastic OpenAI environment for training RL agents

BanditsBook

Code for my book on Multi-Armed Bandit Algorithms

benjamin-recht.github.io

coach

Reinforcement Learning Coach by Intel® AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

Deep-CFR

Scalable Implementation of Deep CFR and Single Deep CFR

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

discrete_mean_field_game

Experiments on a discrete mean field game model of population dynamics with reinforcement learning

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

jk-cim/al-folio

A beautiful Jekyll theme for academics

jk-cim/arxiv-style

A Latex style and template for paper preprints (based on NIPS style)

jk-cim/banana-gym

A simple stochastic OpenAI environment for training RL agents

jk-cim/BanditsBook

Code for my book on Multi-Armed Bandit Algorithms

jk-cim/benjamin-recht.github.io

jk-cim/coach

Reinforcement Learning Coach by Intel® AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

jk-cim/Deep-CFR

Scalable Implementation of Deep CFR and Single Deep CFR

jk-cim/deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

jk-cim/discrete_mean_field_game

Experiments on a discrete mean field game model of population dynamics with reinforcement learning

jk-cim/dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

jk-cim/egtplot

egtplot: A python package for 3-Strategy Evolutionary Games

jk-cim/gym-trading

Environment for reinforcement-learning algorithmic trading models

jk-cim/InfoMARL

using information theory to encourage agents to cooperate and compete

jk-cim/learning-to-communicate-pytorch

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

jk-cim/MADRL

Repo containing code for multi-agent deep reinforcement learning (MADRL).

jk-cim/MARL-Papers

Paper list of multi-agent reinforcement learning (MARL)

jk-cim/mfrl

Mean Field Multi-Agent Reinforcement Learning

jk-cim/Neural-Fictitous-Self-Play

Scalable Implementation of Neural Fictitous Self-Play

jk-cim/Non-linear-dynamics-Strogatz

Python scripts connected to Strogatz's nonlinear dynamics and chaos theory text.

jk-cim/PokerRL

Framework for Multi-Agent Deep Reinforcement Learning in Poker

jk-cim/pytorch-ddpg-naf

Implementation of algorithms for continuous control (DDPG and NAF).

jk-cim/pytorch-madrl

PyTorch implementations of various DRL algorithms for both single agent and multi-agent.

jk-cim/reinforcement-learning

Minimal and Clean Reinforcement Learning Examples

jk-cim/Remote-Estimation

jk-cim/RL-Adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

jk-cim/RL-Adventure-2

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

jk-cim/Style.jl

Style guideline for Julia

jk-cim/tipsntricks

Tips, tricks and setup information at the chair

jk-cim/trfl

TensorFlow Reinforcement Learning

jk-cim/ts_tutorial