223 citations · 267 across the 16 of their papers we have counts for
3 papers · 1 filter
Compatible features for Monotonic Policy Improvement
Marcin B. Tomczak, Sergio Valcarcel Macua, Enrique Munoz de Cote +1
Recent policy optimization approaches have achieved substantial empirical success by constructing surrogate optimization objectives. The Approximate Policy Iteration objective (Sch…
Policy Optimization Through Approximate Importance Sampling
Marcin B. Tomczak, Dongho Kim, Peter Vrancx +1
Recent policy optimization approaches (Schulman et al., 2015a; 2017) have achieved substantial empirical successes by constructing new proxy optimization objectives. These proxy ob…
Disentangled Skill Embeddings for Reinforcement Learning
Janith C. Petangoda, Sergio Pascual-Diaz, Vincent Adam +2
We propose a novel framework for multi-task reinforcement learning (MTRL). Using a variational inference formulation, we learn policies that generalize across both changing dynamic…