当前标签：RL

A0C: Alpha Zero in Continuous Action Space

initial_h 2022-05-23 23:05 阅读:379 评论:0 推荐:0

Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices

initial_h 2022-05-20 23:43 阅读:98 评论:0 推荐:0

Discovering symbolic policies with deep reinforcement learning

initial_h 2022-05-18 23:52 阅读:202 评论:0 推荐:0

Revisiting Rainbow: Promoting more Insightful and Inclusive Deep Reinforcement Learning Research

initial_h 2022-05-15 23:07 阅读:51 评论:0 推荐:0

Planning to Explore via Self-Supervised World Models

initial_h 2022-05-13 22:54 阅读:215 评论:0 推荐:0

EXPLORATION BY RANDOM NETWORK DISTILLATION

initial_h 2022-05-13 22:50 阅读:554 评论:0 推荐:0

NEVER GIVE UP: LEARNING DIRECTED EXPLORATION STRATEGIES

initial_h 2022-05-08 23:59 阅读:362 评论:0 推荐:0

Discovering and Achieving Goals via World Models

initial_h 2022-05-04 22:23 阅读:166 评论:0 推荐:0

Agent57: Outperforming the Atari Human Benchmark

initial_h 2022-05-02 23:08 阅读:555 评论:0 推荐:0

Efficient Deep Reinforcement Learning via Adaptive Policy Transfer

initial_h 2022-04-29 23:23 阅读:196 评论:0 推荐:0

Think Too Fast Nor Too Slow: The Computational Trade-off Between Planning And Reinforcement Learning

initial_h 2022-04-27 23:44 阅读:57 评论:0 推荐:0

Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning

initial_h 2022-04-27 23:34 阅读:140 评论:0 推荐:0

Encoding Human Domain Knowledge to Warm Start Reinforcement Learning

initial_h 2022-04-18 07:57 阅读:148 评论:0 推荐:1

TREEQN AND ATREEC: DIFFERENTIABLE TREE-STRUCTURED MODELS FOR DEEP REINFORCEMENT LEARNING

initial_h 2022-04-18 07:54 阅读:93 评论:0 推荐:0

A Framework for Reinforcement Learning and Planning

initial_h 2022-04-12 07:21 阅读:142 评论:0 推荐:0

Forward-Backward Reinforcement Learning

initial_h 2022-04-03 13:19 阅读:129 评论:0 推荐:0

Discriminator Augmented Model-Based Reinforcement Learning

initial_h 2022-03-31 09:08 阅读:58 评论:0 推荐:0

Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow

initial_h 2022-03-31 09:05 阅读:51 评论:0 推荐:0

TEMPORAL DIFFERENCE MODELS: MODEL-FREE DEEP RL FOR MODEL-BASED CONTROL

initial_h 2022-03-19 12:09 阅读:137 评论:0 推荐:0

MBMF: Model-Based Priors for Model-Free Reinforcement Learning

initial_h 2022-03-13 10:16 阅读:369 评论:0 推荐:0