Papers › The Option-Critic Architecture

The Option-Critic Architecture

16 Sep 2016arXiv:1609.05140archive 2025-07-28

Pierre-Luc Bacon, Jean Harb, Doina Precup

Temporal abstraction is key to scaling up learning and planning in reinforcement learning. While planning with temporally extended actions is well understood, creating such abstractions autonomously from data has remained challenging. We tackle this problem in the framework of options [Sutton, Precup & Singh, 1999; Precup, 2000]. We derive policy gradient theorems for options and propose a new option-critic architecture capable of learning both the internal policies and the termination conditions of options, in tandem with the policy over options, and without the need to provide any additional rewards or subgoals. Experimental results in both discrete and continuous environments showcase the flexibility and efficiency of the framework.

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Syntology Ran 3 of 6 code samples harvested from 2 repositories linked to this paper; 3 have no recorded run. Of those that ran: 1 ran · honoured contract; 1 ran · our draft was wrong; 1 ran · fixture could not drive it.

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AshrithSagar/option-critic mentioned on GitHubpytorchMIT report
abdulhaim/moe_options mentioned on GitHubpytorch report
abdulhaim/options_pytorch_image_env mentioned on GitHubpytorch report
arushi12130/SafeOptionCritic mentioned on GitHub report
elitalobo/Hierarchical-RL-Algorithms mentioned on GitHubpytorch report
huiwenzhang/oc-tf mentioned on GitHubtf report
jeanharb/option_critic mentioned on GitHub report
lweitkamp/option-critic-pytorch mentioned on GitHubpytorch report
yadrimz/option-critic mentioned on GitHubtf report

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6 samples harvested; 3 ran; 1 honoured the contract we drafted; 3 have no recorded run. Read from Syntology's graph 2026-09-24; that is when this build read the record, not when the samples ran.

1ran · honoured contract
1ran · our draft was wrong
1ran · fixture could not drive it
3unverified

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cov elitalobo/Hierarchical-RL-Algorithms/option-critic/hierarchical_dqn.py community (archive-listed) ran · honoured contract fingerprinted no licence file found · pointer only · 7ebafde922686c8a · report
cov elitalobo/Hierarchical-RL-Algorithms/option-critic/hierarchical_dqn.py community (archive-listed) ran · fixture could not drive it fingerprinted no licence file found · pointer only · 31775f7dff0837c8 · report
softmax elitalobo/Hierarchical-RL-Algorithms/option-critic/hierarchical_dqn.py community (archive-listed) ran · our draft was wrong fingerprinted no licence file found · pointer only · e4490f9789c3a31e · report
get_agent_meth AshrithSagar/option-critic/oca/agents/utils.py community (archive-listed) unverified MIT (permissive) · dcb0930c599f1313 · report
make_env AshrithSagar/option-critic/oca/envs/utils.py community (archive-listed) unverified MIT (permissive) · e9c61c409e6c07d6 · report
to_tensor AshrithSagar/option-critic/oca/envs/utils.py community (archive-listed) unverified MIT (permissive) · 9488a34878d9dd7e · report

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Reinforcement LearningReinforcement Learning (RL)reinforcement-learning

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