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mphrl

Model Primitive Hierarchical Reinforcement Learning

noreward-rl

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

opponent

Implementation for ICML 16 paper "Deep reinforcement learning with opponent modeling"

optimal-rewiring

MAS rewiring experiments

p3o

P3O paper code

planet

Deep Planning Network: Control from pixels by latent planning with learned dynamics

pymarl_alpha

Alpha code release for Python Multi-Agent Reinforcement Learning framework

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).

random-network-distillation

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

revisiting-ppo

rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

scalable_agent

A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.

self-imitation-learning

slm-lab

Modular Deep Reinforcement Learning framework in PyTorch.

smac

SMAC: The StarCraft Multi-Agent Challenge

snail

A PyTorch implementation of the blocks from the _A Simple Neural Attentive Meta-Learner_ paper

steingan

code for steinGAN - Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning

td3

PyTorch implementation of TD3 and DDPG for OpenAI gym tasks

tensorflow-infogan

:dolls: InfoGAN: Interpretable Representation Learning

tju-ai-labenv

torchcraft-py

Python wrapper for TorchCraft. (In progress)

transformer-tensorflow

Implementation of Transformer Model in Tensorflow

tsallis_actor_critic_mujoco

Implementation of Tsallis Actor Critic method

ytunes

A simple novice music player in C#.