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07/25/2023
Learning to Design Analog Circuits to Meet Threshold Specifications
Automated design of analog and radio-frequency circuits using supervised...
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07/21/2023
Selective Perception: Optimizing State Descriptions with Reinforcement Learning for Language Model Actors
Large language models (LLMs) are being applied as actors for sequential ...
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09/16/2022
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks
In temporal-difference reinforcement learning algorithms, variance in va...
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07/19/2022
Feasible Adversarial Robust Reinforcement Learning for Underspecified Environments
Robust reinforcement learning (RL) considers the problem of learning pol...
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07/13/2022
Self-Play PSRO: Toward Optimal Populations in Two-Player Zero-Sum Games
In competitive two-agent environments, deep reinforcement learning (RL) ...
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05/25/2022
Learning to Query Internet Text for Informing Reinforcement Learning Agents
Generalization to out of distribution tasks in reinforcement learning is...
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01/19/2022
Anytime PSRO for Two-Player Zero-Sum Games
Policy space response oracles (PSRO) is a multi-agent reinforcement lear...
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12/06/2021
Target Entropy Annealing for Discrete Soft Actor-Critic
Soft Actor-Critic (SAC) is considered the state-of-the-art algorithm in ...
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11/28/2021
Count-Based Temperature Scheduling for Maximum Entropy Reinforcement Learning
Maximum Entropy Reinforcement Learning (MaxEnt RL) algorithms such as So...
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10/28/2021
Temporal-Difference Value Estimation via Uncertainty-Guided Soft Updates
Temporal-Difference (TD) learning methods, such as Q-Learning, have prov...
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10/20/2021
Independent Natural Policy Gradient Always Converges in Markov Potential Games
Multi-agent reinforcement learning has been successfully applied to full...
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09/05/2021
Modular Framework for Visuomotor Language Grounding
Natural language instruction following tasks serve as a valuable test-be...
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06/07/2021
Improving Social Welfare While Preserving Autonomy via a Pareto Mediator
Machine learning algorithms often make decisions on behalf of agents wit...
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03/11/2021
XDO: A Double Oracle Algorithm for Extensive-Form Games
Policy Space Response Oracles (PSRO) is a deep reinforcement learning al...
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02/08/2021
A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks
A* search is an informed search algorithm that uses a heuristic function...
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06/15/2020
Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games
Finding approximate Nash equilibria in zero-sum imperfect-information ga...
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12/29/2019
Hierarchical Variational Imitation Learning of Control Programs
Autonomous agents can learn by imitating teacher demonstrations of the i...
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11/19/2018
Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models
Generalizing manipulation skills to new situations requires extracting i...
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01/31/2018
Model-Free Error Detection and Recovery for Robot Learning from Demonstration
Learning from human demonstrations can facilitate automation but is risk...
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01/31/2018
Derivative-Free Failure Avoidance Control for Manipulation using Learned Support Constraints
Learning to accomplish tasks such as driving, grasping or surgery from s...
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12/26/2017
Ray RLLib: A Composable and Scalable Reinforcement Learning Library
Reinforcement learning (RL) algorithms involve the deep nesting of disti...
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10/15/2017
DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations
An option is a short-term skill consisting of a control policy for a spe...
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09/18/2016
Principled Option Learning in Markov Decision Processes
It is well known that options can make planning more efficient, among th...
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06/27/2012