Robotic process automation
Intros about learning
- Reinforcement learning example to teach machines tasks.
- More recent publication on this topic
- AI plays starcraft really well
- Learning to navigate in Cities without a Map
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Supplemental paper describing the network architecture (cov net + LSTM)
- IMPALA - Importance-Weighted Actor-Learner Architectures
- Curiosity driven exploration: data efficient model based RL through unsupervised object discovery and curiosity driven exploration
(Guided) Exploration
- Real World Graphs to accelerate reinforcement learning
- Workflow-Guided Exploration: sample-efficient RL agent for web tasks
- Further interesting avenues to explore: random walk exploration vs. curiosity-driven goal-conditioned policy
General articles about task completion
- Micro tasks, is the way people complete tasks changing? Microtasks and distraction, by Jaime
- Attach and detach from work
Concepts to explore
- Recurrent variational auto-encoder
Things to learn from autonomous driving
- Learning by cheating - decomposing learning into two stages (one with prvileged information, then prvilieged agent trains another agent)