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Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning

initial_h 2022-02-11 13:53 阅读:309 评论:0 推荐:0

Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion

initial_h 2022-02-10 06:32 阅读:134 评论:0 推荐:0

ALGORITHMIC FRAMEWORK FOR MODEL-BASED DEEP REINFORCEMENT LEARNING WITH THEORETICAL GUARANTEES

initial_h 2022-02-05 12:08 阅读:154 评论:0 推荐:0

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

initial_h 2022-02-05 12:02 阅读:409 评论:0 推荐:0

When to Trust Your Model: Model-Based Policy Optimization

initial_h 2022-01-07 08:42 阅读:412 评论:0 推荐:0

On the Expressivity of Neural Networks for Deep Reinforcement Learning

initial_h 2022-01-01 12:21 阅读:67 评论:0 推荐:0

When to use parametric models in reinforcement learning?

initial_h 2021-12-30 10:13 阅读:128 评论:0 推荐:0

Benchmarking Model-Based Reinforcement Learning

initial_h 2021-12-23 11:27 阅读:145 评论:0 推荐:0

Value Prediction Network

initial_h 2021-12-21 11:10 阅读:124 评论:0 推荐:0

The Effect of Planning Shape on Dyna-style Planning in High-dimensional State Spaces

initial_h 2021-12-18 09:21 阅读:95 评论:0 推荐:0

ON THE ROLE OF PLANNING IN MODEL-BASED DEEP REINFORCEMENT LEARNING

initial_h 2021-12-16 11:46 阅读:235 评论:0 推荐:0

MODEL BASED REINFORCEMENT LEARNING FOR ATARI

initial_h 2021-12-03 11:48 阅读:120 评论:0 推荐:0

MASTERING ATARI WITH DISCRETE WORLD MODELS

initial_h 2021-11-30 11:56 阅读:241 评论:0 推荐:0

DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION

initial_h 2021-11-28 12:55 阅读:518 评论:0 推荐:0

Learning Latent Dynamics for Planning from Pixels

initial_h 2021-11-28 12:49 阅读:475 评论:0 推荐:0