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RealworldRL-Suite
The realworldrl-suite contains a set of real-world challenge wrappers across 8 DeepMind Control Suite tasks. -
Scripted pick and place policy
Scripted pick and place policy -
Scripted grasping policy
Scripted grasping policy -
Task-specific data
Task-specific data -
Prior dataTask data
Prior dataTask data -
Data-Efficient Deep Reinforcement Learning for Attitude Control of Fixed-Wing ...
The dataset used in this paper for attitude control of fixed-wing UAVs using deep reinforcement learning. -
A Deep Reinforcement Learning Approach for Online Parcel Assignment
The online parcel assignment problem, which is aimed at assigning each incoming parcel to a candidate route for delivery, in order to minimize the total cost under consideration... -
Sentence Simplification with Deep Reinforcement Learning
Sentence simplification with deep reinforcement learning. -
Autonomous Driving Lane Change Decision-making
The dataset used in this paper for autonomous driving lane change decision-making task. -
R3: On-device Real-Time Deep Reinforcement Learning for Autonomous Robotics
Autonomous robotic systems, like autonomous vehicles and robotic search and rescue, require efficient on-device training for continuous adaptation of Deep Reinforcement Learning... -
Human-level control through deep reinforcement learning
The dataset contains data from human-level control through deep reinforcement learning.
