Dennis Richardson's repositories

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1m-agents

A platform of grid world that supports up to 1 million reinforcement-learning agents.

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baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

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Polygames

The project is a platform of zero learning with a library of games.

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APEX

Autonomous exploration, active learning and human guidance with open-source Poppy humanoid robot platform and Explauto library

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coach

Reinforcement Learning Coach by Intel® Nervana™ enables easy experimentation with state of the art Reinforcement Learning algorithms

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Crypto_Trader

Q-Learning Based Cryptocurrency Trader and Portfolio Optimizer for the Poloniex Exchange

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DeepReinforcementLearningThatMatters

Accompanying code for "Deep Reinforcement Learning that Matters"

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DeepRL-Agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

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DeepRLHacks

Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)

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Direct-Future-Prediction-Keras

Direct Future Prediction (DFP ) in Keras

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dtreeviz

A python library for decision tree visualization and model interpretation.

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go-explore

Code for Go-Explore: a New Approach for Hard-Exploration Problems

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hierarchical_IL_RL

Code for hierarchical imitation learning and reinforcement learning

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learning2run

Our NIPS 2017: Learning to Run approach

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MAgent

A Platform for Many-agent Reinforcement Learning

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multiagent-competition

Repository for competitive multi-agent environments

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noreward-rl

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

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PGPortfolio

PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

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POP3D

Policy Optimization with Penalized Point Probability Distance: an Alternative to Proximal Policy Optimization

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pyensemble

An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn

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pysc2

StarCraft II Learning Environment

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reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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robosumo

RoboSumo competitive multi-agent environments.

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Run-Skeleton-Run

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

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SerpentAI

Game Agent Framework. Helping you create AIs / Bots to play any game you own! BETA

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TorchCraft

Connecting Torch to StarCraft

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trpo

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

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universe-starter-agent

A starter agent that can solve a number of universe environments.

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