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Found 3 papers, 1 papers with code
Learning Invariable Semantical Representation from Language for Extensible Policy Generalization
Recently, incorporating natural language instructions into reinforcement learning (RL) to learn semantically meaningful representations and foster generalization has caught many concerns.
CRIL: Continual Robot Imitation Learning via Generative and Prediction Model
Imitation learning (IL) algorithms have shown promising results for robots to learn skills from expert demonstrations.
Success-Rate Targeted Reinforcement Learning by Disorientation Penalty
Unfortunately, applying traditional Bellman updates to value function learning can be problematic for learning undiscounted return, and thus not suitable for optimizing success rate.
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