Asynchronous Coagent Networks

The hedonistic neuron: A theory of memory, learning, and intelligence

Klopf, A. H · 1982

Earlier work this paper cites.

Learning by statistical cooperation of self-interested neuron-like computing elements

Barto, A. G · 1985

Earlier work this paper cites.

Learning Automata: an Introduction

Narendra, K. S. and Thathachar, M. A · 1989

Earlier work this paper cites.

Simple statistical gradient-following algorithms for connectionist reinforcement learning

Williams, R. J · 1992

Earlier work this paper cites.

Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning

Sutton, R. S., Precup, D., and Singh, S · 1999

Earlier work this paper cites.

Gradient convergence in gradient methods with errors

Bertsekas, D. P. and Tsitsiklis, J. N · 2000

Earlier work this paper cites.

Coordinated reinforcement learning

Guestrin, C., Lagoudakis, M., and Parr, R · 2002

Earlier work this paper cites.

Conditional random fields for multi-agent reinforcement learning

Original

Zhang, X., Aberdeen, D., and Vishwanathan, S · 2007

Cited alongside, same era.

Multi-agent reinforcement learning: An overview

Buşoniu, L., Babuška, R., and De Schutter, B · 2010

Cited alongside, same era.

Horde: A scalable real-time architecture for learning knowledge from unsupervised sensorimotor interaction

Sutton, R. S., Modayil, J., Delp, M., Degris, T., Pilarski, P. M., and White, A · 2011

Cited alongside, same era.

Policy gradient coagent networks

Thomas, P. S · 2011

Cited alongside, same era.

Conjugate markov decision processes

Thomas, P. S. and Barto, A. G · 2011

Cited alongside, same era.

Motor primitive discovery

Thomas, P. S. and Barto, A. G · 2012

Cited alongside, same era.

Optimal rewards for cooperative agents

Liu, B., Singh, S., Lewis, R. L., and Qin, S · 2014

Later among the works it cites.

Gradient estimation using stochastic computation graphs

Schulman, J., Heess, N., Weber, T., and Abbeel, P · 2015

Later among the works it cites.

Artificial Intelligence: A Modern Approach

Russell, S. J. and Norvig, P · 2016

Later among the works it cites.

The option-critic architecture

Bacon, P.-L., Harb, J., and Precup, D · 2017

Later among the works it cites.

Learning abstract options

Riemer, M., Liu, M., and Tesauro, G · 2018

Later among the works it cites.

Dac: The double actor-critic architecture for learning options

Zhang, S. and Whiteson, S · 2019

Closest in time.