Tim Lillicrap Data Efficient Deep Reinforcement Learning For Continuous Control

By Editorial Team · October 1, 2026 · 9 min read

Tim Lillicrap Data Efficient Deep Reinforcement Learning For Continuous Control Information Guide

  1. Introduction of Tim Lillicrap Data Efficient Deep Reinforcement Learning For Continuous Control
  2. Main Features
  3. History
  4. Deep Dive
  5. Summary

Introduction of Tim Lillicrap Data Efficient Deep Reinforcement Learning For Continuous Control

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Main Features

Details Data Efficient Reinforcement learning for Autonomous Robots with Simulated and Off-policy Data Update
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History

Details Continuous Control with Deep Reinforcement Learning Update
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Implicit Under-Parameterization Inhibits Data-Efficient Deep RL
Implicit Under-Parameterization Inhibits Data-Efficient Deep RL
Deep Reinforcement Learning for Continuous Control using DDPG(Deep Deterministic Policy Gradient)
Deep Reinforcement Learning for Continuous Control using DDPG(Deep Deterministic Policy Gradient)
data efficient reinforcement learning
data efficient reinforcement learning
smartR Data Efficient Reinforcement Learning Software
smartR Data Efficient Reinforcement Learning Software
MAIS Poster 102: Data Efficient Reinforcement Learning with Momentum Predictive Models
MAIS Poster 102: Data Efficient Reinforcement Learning with Momentum Predictive Models
Multi-focus Attention Network for Efficient Deep Reinforcement Learning
Multi-focus Attention Network for Efficient Deep Reinforcement Learning
Learning Continuous Control Actions for Robotic Grasping with Reinforcement Learning
Learning Continuous Control Actions for Robotic Grasping with Reinforcement Learning
Deep Learning and the Brain 2019 – Dr. Timothy Lillicrap
Deep Learning and the Brain 2019 – Dr. Timothy Lillicrap
Deep Learning and the Brain: Does the Brain Approximate Backpropagation
Deep Learning and the Brain: Does the Brain Approximate Backpropagation
Data-Efficient Machine Learning for Autonomous Robots
Data-Efficient Machine Learning for Autonomous Robots
Timothy Lillicrap - Assessing the scalability of biologically-motivated deep learning (Cosyne 2018)
Timothy Lillicrap - Assessing the scalability of biologically-motivated deep learning (Cosyne 2018)

Deep Dive

Data is compiled from public records and verified media reports.

Last Updated: October 1, 2026

Summary

Full Udacity Weekly Webinar DRLND - Continuous Control, Discretization , Deep RL and Taxi example Update
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Summary

A video accompanying the paper: Implicit Under-Parameterization Inhibits Agent in "reacher" environment trained to reach the ball using Robots are nowadays increasingly required to deal with (partially) unknown tasks and situations. The robot has, therefore, ... Assessing the scalability of biologically-motivated There has been rapid progress in applying machine Lecturer: Marc Deisenroth In many high-impact areas of machine

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