An Information-Theoretic Perspective on Credit Assignment in
Reinforcement Learning

An Information-Theoretic Perspective on Credit Assignment in Reinforcement Learning

10 March 2021

Peter Henderson

Pierre-Luc Bacon

Papers citing "An Information-Theoretic Perspective on Credit Assignment in Reinforcement Learning"

8 / 8 papers shown

Title
Expected Eligibility Traces H. V. Hasselt Sephora Madjiheurem Matteo Hessel David Silver André Barreto Diana Borsa 29 37 0 03 Jul 2020
Exploiting Hierarchy for Learning and Transfer in KL-regularized RL Dhruva Tirumala Hyeonwoo Noh Alexandre Galashov Leonard Hasenclever Arun Ahuja Greg Wayne Razvan Pascanu Yee Whye Teh N. Heess OffRL 38 45 0 18 Mar 2019
Optimizing Agent Behavior over Long Time Scales by Transporting Value Chia-Chun Hung Timothy Lillicrap Josh Abramson Yan Wu M. Berk Mirza Federico Carnevale Arun Ahuja Greg Wayne 63 124 0 15 Oct 2018
Learning by Playing - Solving Sparse Reward Tasks from Scratch Martin Riedmiller Roland Hafner Thomas Lampe Michael Neunert Jonas Degrave T. Wiele Volodymyr Mnih N. Heess Jost Tobias Springenberg 79 446 0 28 Feb 2018
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 106 2,423 0 15 May 2017
Deep Exploration via Randomized Value Functions Ian Osband Benjamin Van Roy Daniel Russo Zheng Wen 79 302 0 22 Mar 2017
Reinforcement Learning with Deep Energy-Based Policies Tuomas Haarnoja Haoran Tang Pieter Abbeel Sergey Levine 79 1,329 0 27 Feb 2017
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 92 2,992 0 19 Jul 2012