StampyAI-alignment-data

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id string	title string	url string	source string	source_type string	text string	date_published timestamp[us]	authors sequence	summaries sequence	filename string
025ec6c77a59b3363162576fa55a4fd7	Modeling Agents with Probabilistic Programs	https://agentmodels.org/chapters/3-agents-as-programs.html	agentmodels	markdown	--- layout: chapter title: "Agents as probabilistic programs" description: "One-shot decision problems, expected utility, softmax choice and Monty Hall." is_section: true --- ## Introduction Our goal is to implement agents that compute rational policies. Policies are plans for achieving good outcomes in environm...	2018-06-21T16:25:20	[ "Owain Evans", "Andreas Stuhlmüller", "John Salvatier", "Daniel Filan" ]	[]	3-agents-as-programs.md
ea441710b479ba9d9171a1b2273a2aca	Modeling Agents with Probabilistic Programs	https://agentmodels.org/chapters/5-biases-intro.html	agentmodels	markdown	--- layout: chapter title: "Cognitive biases and bounded rationality" description: Soft-max noise, limited memory, heuristics and biases, motivation from intractability of POMDPs. is_section: true --- ### Optimality and modeling human actions We've mentioned two uses for models of sequential decision making: Use (1...	2017-03-19T18:46:48	[ "Owain Evans", "Andreas Stuhlmüller", "John Salvatier", "Daniel Filan" ]	[]	5-biases-intro.md
de7fd0b4b054937b7a2d8856f11ee694	Modeling Agents with Probabilistic Programs	https://agentmodels.org/chapters/7-multi-agent.html	agentmodels	markdown	--- layout: chapter title: Multi-agent models description: Schelling coordination games, tic-tac-toe, and a simple natural-language example. is_section: true --- In this chapter, we will look at models that involve multiple agents reasoning about each other. This chapter is based on reft:stuhlmueller2013reasoning. ##...	2016-12-04T11:26:34	[ "Owain Evans", "Andreas Stuhlmüller", "John Salvatier", "Daniel Filan" ]	[]	7-multi-agent.md
32ca55d04d57aa1d34e0db0fa171a0c9	Modeling Agents with Probabilistic Programs	https://agentmodels.org/chapters/5d-joint-inference.html	agentmodels	markdown	--- layout: chapter title: Joint inference of biases and preferences I description: Assuming agent optimality leads to mistakes in inference. Procrastination and Bandit Examples. --- ### Introduction Techniques for inferring human preferences and beliefs from their behavior on a task usually assume that humans solve...	2019-08-29T10:20:19	[ "Owain Evans", "Andreas Stuhlmüller", "John Salvatier", "Daniel Filan" ]	[]	5d-joint-inference.md
a894af445e54ec10a745213ccd2d14e3	Modeling Agents with Probabilistic Programs	https://agentmodels.org/chapters/3b-mdp-gridworld.html	agentmodels	markdown	--- layout: chapter title: "MDPs and Gridworld in WebPPL" description: Noisy actions (softmax), stochastic transitions, policies, Q-values. --- This chapter explores some key features of MDPs: stochastic dynamics, stochastic policies, and value functions. ### Hiking in Gridworld We begin by introducing a new gridwor...	2016-12-13T14:21:09	[ "Owain Evans", "Andreas Stuhlmüller", "John Salvatier", "Daniel Filan" ]	[]	3b-mdp-gridworld.md
255b3dc4b0cda7173da19999092818bb	Modeling Agents with Probabilistic Programs	https://agentmodels.org/chapters/5c-myopic.html	agentmodels	markdown	--- layout: chapter title: Bounded Agents-- Myopia for rewards and updates description: Heuristic POMDP algorithms that assume a short horizon. --- ### Introduction The previous chapter extended the MDP agent model to include exponential and hyperbolic discounting. The goal was to produce models of human behavior th...	2017-03-19T18:54:16	[ "Owain Evans", "Andreas Stuhlmüller", "John Salvatier", "Daniel Filan" ]	[]	5c-myopic.md
f9925fa4aa8c50448d99bfdb6889ffa9	Modeling Agents with Probabilistic Programs	https://agentmodels.org/chapters/3a-mdp.html	agentmodels	markdown	--- layout: chapter title: "Sequential decision problems: MDPs" description: Markov Decision Processes, efficient planning with dynamic programming. --- ## Introduction The [previous chapter](/chapters/3-agents-as-programs.html) introduced agent models for solving simple, one-shot decision problems. The next few sect...	2017-06-16T23:10:13	[ "Owain Evans", "Andreas Stuhlmüller", "John Salvatier", "Daniel Filan" ]	[]	3a-mdp.md
44d01d6d6c9feba874f40b861e6cc502	Modeling Agents with Probabilistic Programs	https://agentmodels.org/chapters/6a-inference-dp.html	agentmodels	markdown	--- layout: chapter title: Dynamic programming description: Exact enumeration of generative model computations + caching. status: stub is_section: false hidden: true ---	2016-03-09T21:34:03	[ "Owain Evans", "Andreas Stuhlmüller", "John Salvatier", "Daniel Filan" ]	[]	6a-inference-dp.md
d5e89ed22367f9ddf80e6ecc23bc7b71	Modeling Agents with Probabilistic Programs	https://agentmodels.org/chapters/3d-reinforcement-learning.html	agentmodels	markdown	--- layout: chapter title: "Reinforcement Learning to Learn MDPs" description: RL for Bandits, Thomson Sampling for learning MDPs. --- ## Introduction Previous chapters assumed that the agent already knew the structure of the environment. In MDPs, the agent knows everything about the environment and just needs to co...	2018-06-24T18:01:20	[ "Owain Evans", "Andreas Stuhlmüller", "John Salvatier", "Daniel Filan" ]	[]	3d-reinforcement-learning.md
25ae0e08efcf1ce08fbf7423fd4fdb65	Modeling Agents with Probabilistic Programs	https://agentmodels.org/chapters/5a-time-inconsistency.html	agentmodels	markdown	--- layout: chapter title: "Time inconsistency I" description: Exponential vs. hyperbolic discounting, Naive vs. Sophisticated planning. --- ### Introduction Time inconsistency is part of everyday human experience. In the night you wish to rise early; in the morning you prefer to sleep in. There is an inconsistency ...	2019-08-24T14:52:08	[ "Owain Evans", "Andreas Stuhlmüller", "John Salvatier", "Daniel Filan" ]	[]	5a-time-inconsistency.md
8adf0ba4ce94372feb4380f99a96c790	Modeling Agents with Probabilistic Programs	https://agentmodels.org/chapters/6c-inference-rl.html	agentmodels	markdown	--- layout: chapter title: Reinforcement learning techniques description: Max-margin and linear programming methods for IRL. status: stub is_section: false hidden: true --- - Could have appendix discussing Apprenticeship Learning ideas in Abbeel and Ng in more detail.	2016-03-09T21:34:01	[ "Owain Evans", "Andreas Stuhlmüller", "John Salvatier", "Daniel Filan" ]	[]	6c-inference-rl.md

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