Reinforcement Learning and Planning · Planning

TitleAuthors
Control What You Can: Intrinsically Motivated Task-Planning AgentSebastian Blaes · Marin Vlastelica Pogančić · Jiajie Zhu · Georg Martius
Depth-First Proof-Number Search with Heuristic Edge Cost and Application to Chemical Synthesis PlanningAkihiro Kishimoto · Beat Buesser · Bei Chen · Adi Botea
Maximum Entropy Monte-Carlo PlanningChenjun Xiao · Ruitong Huang · Jincheng Mei · Dale Schuurmans · Martin Müller
Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement LearningErwan Lecarpentier · Emmanuel Rachelson
Planning in entropy-regularized Markov decision processes and gamesJean-Bastien Grill · Omar Darwiche Domingues · Pierre Menard · Remi Munos · Michal Valko
Planning with Goal-Conditioned PoliciesSoroush Nasiriany · Vitchyr Pong · Steven Lin · Sergey Levine
Regression Planning NetworksDanfei Xu · Roberto Martín-Martín · De-An Huang · Yuke Zhu · Silvio Savarese · Li Fei-Fei
Search on the Replay Buffer: Bridging Planning and Reinforcement LearningBen Eysenbach · Russ Salakhutdinov · Sergey Levine