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Research map / Reinforcement learning / Visual and representation RL

Meta-learning Parameterized Skills

ICML 2023 · Reinforcement learning › Visual and representation RL · approach: Task structure and curricula for meta-RL · 2 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add trajectory-centric smoothness loss to off-policy meta-RL skill learning (ablation)Parameterized skills for Ant-mix and Make Coffee · Long-horizon Ant-mix and Make Coffeeoverall performanceHelped
Use HPS instead of P-DQN with the same pretrained skillsMLPS parameterized skills · Ant obstacle courselearning efficiencyHelped
Use HPS instead of HyAR with the same pretrained skillsMLPS parameterized skills · Ant obstacle course and Make Coffeeoverall performanceHelped
Add trajectory-centric smoothness loss (ablation)Low-level meta-policy · Ant tasksmeta-test performanceHelped
Add trajectory-centric smoothness loss (ablation)Low-level meta-policy · Coffee tasksmeta-test performanceNo clear effect
Increase smoothness loss of the learned skill embeddings (ablation)MLPS coffee-push and coffee-pull skills · Long-horizon coffee taskoverall performanceHurt
Use sequential trajectory encoder and compute DTW smoothness on complete trajectories (ablation)MLPS · Ant-goallearning speedHurt
Use sequential trajectory encoder and compute DTW smoothness on complete trajectories (ablation)MLPS · Ant-goalfinal performanceNo clear effect
Replace the joint critic with separate critics for discrete and continuous actions (ablation)HPS · Coffee-make long-horizon tasklearning speedHurt
Use epsilon-greedy exploration instead of Gumbel-softmax exploration (ablation)HPS · Ant obstacle course 10b-3cperformanceHurt
Use the similarity score function instead of Euclidean distance between latent embeddings (ablation)MLPS smoothness loss · Ant-goalperformanceMixed
Use dynamic time warping instead of pointwise Euclidean distance to compare trajectories (ablation)Trajectory distance for skill learning · Ant-goal, Ant-bridge, and Ant-gathercoefficient of variationHelped

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