Model-based Reinforcement Learning

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Greatest papers with code

Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach

google-research/google-research 20 Feb 2021

An ideal environment for evaluating dialog systems, also known as the Turing test, needs to involve human interaction, which is usually not affordable for large-scale experiments.

Model-based Reinforcement Learning Text Generation

Learning Abstract Models for Strategic Exploration and Fast Reward Transfer

google-research/google-research 12 Jul 2020

Model-based reinforcement learning (RL) is appealing because (i) it enables planning and thus more strategic exploration, and (ii) by decoupling dynamics from rewards, it enables fast transfer to new reward functions.

Model-based Reinforcement Learning Montezuma's Revenge

Model-Based Reinforcement Learning for Atari

tensorflow/tensor2tensor 1 Mar 2019

We describe Simulated Policy Learning (SimPLe), a complete model-based deep RL algorithm based on video prediction models and present a comparison of several model architectures, including a novel architecture that yields the best results in our setting.

Atari Games Model-based Reinforcement Learning +1

Deep Residual Reinforcement Learning

ShangtongZhang/DeepRL 3 May 2019

We revisit residual algorithms in both model-free and model-based reinforcement learning settings.

Model-based Reinforcement Learning

Modeling the Long Term Future in Model-Based Reinforcement Learning

maximecb/gym-minigrid ICLR 2019

This paper focuses on building a model that reasons about the long-term future and demonstrates how to use this for efficient planning and exploration.

Imitation Learning Model-based Reinforcement Learning +1

Learning to Predict Without Looking Ahead: World Models Without Forward Prediction

google/brain-tokyo-workshop NeurIPS 2019

That useful models can arise out of the messy and slow optimization process of evolution suggests that forward-predictive modeling can arise as a side-effect of optimization under the right circumstances.

Model-based Reinforcement Learning

MBRL-Lib: A Modular Library for Model-based Reinforcement Learning

facebookresearch/mbrl-lib 20 Apr 2021

MBRL-Lib is designed as a platform for both researchers, to easily develop, debug and compare new algorithms, and non-expert user, to lower the entry-bar of deploying state-of-the-art algorithms.

Model-based Reinforcement Learning

Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models

facebookresearch/mbrl-lib NeurIPS 2018

Model-based reinforcement learning (RL) algorithms can attain excellent sample efficiency, but often lag behind the best model-free algorithms in terms of asymptotic performance.

Model-based Reinforcement Learning

Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation

peteanderson80/Matterport3DSimulator ECCV 2018

In this paper, we take a radical approach to bridge the gap between synthetic studies and real-world practices---We propose a novel, planned-ahead hybrid reinforcement learning model that combines model-free and model-based reinforcement learning to solve a real-world vision-language navigation task.

Model-based Reinforcement Learning Robot Navigation +2

Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning

nagaban2/nn_dynamics 8 Aug 2017

Model-free deep reinforcement learning algorithms have been shown to be capable of learning a wide range of robotic skills, but typically require a very large number of samples to achieve good performance.

Model-based Reinforcement Learning