A Workflow For Offline Model-Free Robotic Rl

A Workflow for Offline Model-Free Robotic RL

A Workflow for Offline Model Free Robotic Reinforcement Learning by Aviral Kumar, Anikait Singh, Ste

Conference on Robot Learning

Pre-training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials

RAIL

Deep Model-Based RL for Real-World Robotic Control

RAIL

Revolutionizing Robot Learning: Finetuning Offline Models for the Real World

What do we require to pretrain robots?

RAIL

Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills

Yevgen Chebotar

Comparison of Model-Based and Model-Free RL for Real-World Dexterous Robotic Manipulation Tasks

Centre for Automation & Robotic Eng. Science

Making Real-World Reinforcement Learning Practical

RAIL

Offline Reinforcement Learning: Incorporating Knowledge from Data into RL

RAIL

FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing (Summary)

RAIL

Finetuning Offline World Models in the Real World

Bumlife2Bomblife Management

Offline Reinforcement Learning

RAIL

AI Trends 2023: Reinforcement Learning - RLHF, Robotic Pre-Training & Offline RL with Sergey Levine

The TWIML AI Podcast with Sam Charrington

Deep Reinforcement Learning in the Real World -Sergey Levine

Institute for Advanced Study

Data-Driven Reinforcement Learning for Robotic Manipulation

RAIL

Offline Reinforcement Learning

Bridging Model-based Safety and Mode-free RL through System Identification of Linear Models

Hybrid Robotics