Accepted Papers

The complete list is also available at this link.

• Trajectory First: A Curriculum for Discovering Diverse Policies  (Spotlight)
  Cornelius V. Braun, Sayantan Auddy, Marc Toussaint

• ReWiND: Learning New Tasks from Language Without New Demonstrations
  Jiahui Zhang, Yusen Luo, Abrar Anwar, Sumedh Anand Sontakke, Joseph J Lim, Jesse Thomason, Erdem Biyik, Jesse Zhang

• Unified Reinforcement Learning through Implicit Value Regularization
  Haoran Xu, Liyuan Mao, Hui Jin, Weinan Zhang, Xianyuan Zhan, Amy Zhang

• Learning to Undo: Transfer Reinforcement Learning under Linear State Space Transformations
  Mridul Mahajan, Aldo Pacchiano, Xuezhou Zhang

• A Study of Value-Aware Eigenoptions
  Harshil Kotamreddy, Marlos C. Machado

• Sliding Puzzles Gym: A Scalable Benchmark for State Representation in Visual Reinforcement Learning
  Bryan Lincoln Marques de Oliveira, Luana Guedes Barros Martins, Bruno Brandão, Murilo Lopes da Luz, Telma Woerle de Lima Soares, Luckeciano Carvalho Melo

• Training PPO-Clip with Parallelized Data Generation: A Case of Fixed-Point Convergence
  Homayoun Honari, Roger Creus Castanyer, Pablo Samuel Castro, Glen Berseth

• Reinforcement Learning with Physics-Informed Symbolic Program Priors for Zero-Shot Wireless Indoor Navigation (Spotlight)
  Tao Li, Haozhe Lei, Mingsheng Yin, Yaqi Hu

• Revisiting Laplacian Representations for Value Function Approximation in Deep RL
  Priyesh Vijayan, Padideh Nouri, Rishav Rishav, Sarath Chandar, Yash Chandak, Mathieu Reymond, Samira Ebrahimi Kahou, Doina Precup

• Combining Pre-Trained Models for Enhanced Feature Representation in Reinforcement Learning
  Elia Piccoli, Malio Li, Giacomo Carfi', Vincenzo Lomonaco, Davide Bacciu

• Deep Reinforcement Learning Agents are not even close to Human Intelligence
  Quentin Delfosse, Jannis Blüml, Fabian Tatai, Théo Vincent, Bjarne Gregori, Elisabeth Dillies, Jan Peters, Constantin A. Rothkopf, Kristian Kersting

• Learning Reward Structure with Subtasks in Reinforcement Learning
  Shuai Han, Mehdi Dastani, Shihan Wang

• Reward Machine Inference for Robotic Manipulation (Spotlight)
  Mattijs Baert, Elias Malomgré, Sam Leroux, Pieter Simoens

• Bayesian Hypothesis Testing Policy Regularization 

  Sarah Rathnam, Finale Doshi-Velez, Susan Murphy