While many real-world problems that might benefit from reinforcement
lea...
We study how the choice of visual perspective affects learning and
gener...
Reward function specification, which requires considerable human effort ...
Model-based algorithms, which learn a dynamics model from logged experie...
Offline reinforcement learning (RL) refers to the problem of learning
po...
Massive datasets have proven critical to successfully applying deep lear...