conftrace_

partially observable environment

33 papers

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Also known as

POE

Co-occurring keywords

reinforcement learning (4352) partial observability (119) recurrent neural network (1790) multi-agent system (1819) temporal abstraction (75) predictive state representation (19) partially observable (25) model-based reinforcement learning (415) partially observable markov decision process (178) policy learning (702)

Papers

Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents JMLR 2025
On the Curses of Future and History in Future-dependent Value Functions for Off-policy Evaluation NIPS 2024
Real-Time Recurrent Learning using Trace Units in Reinforcement Learning NIPS 2024
Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments NIPS 2024
Balancing Context Length and Mixing Times for Reinforcement Learning at Scale NIPS 2024
CLEVR-POC: Reasoning-Intensive Visual Question Answering in Partially Observable Environments COLING 2024
Semantic HELM: A Human-Readable Memory for Reinforcement Learning NIPS 2023
Active Vision Reinforcement Learning under Limited Visual Observability NIPS 2023
Reinforcement Learning with Fast and Forgetful Memory NIPS 2023
Is Anyone There? Learning a Planner Contingent on Perceptual Uncertainty CORL 2022
Exploring through Random Curiosity with General Value Functions NIPS 2022
Context-Specific Representation Abstraction for Deep Option Learning AAAI 2022
AVAST: Attentive Variational State Tracker in a Reinforced Navigator AACL 2022
Generating High-Quality Explanations for Navigation in Partially-Revealed Environments NIPS 2021
Error-Aware Policy Learning: Zero-Shot Generalization in Partially Observable Dynamic Environments RSS 2021
Vector Quantized Models for Planning ICML 2021
Keyframe-Focused Visual Imitation Learning ICML 2021
Unsupervised Object-Based Transition Models For 3D Partially Observable Environments NIPS 2021
Task-Oriented Active Perception and Planning in Environments with Partially Known Semantics ICML 2020
A neurally plausible model learns successor representations in partially observable environments NIPS 2019
Language-guided Semantic Mapping and Mobile Manipulation in Partially Observable Environments CORL 2019
Recurrent Predictive State Policy Networks ICML 2018
Efficient Bayesian Methods for Counting Processes in Partially Observable Environments AISTATS 2018
Universal Reinforcement Learning Algorithms: Survey and Experiments IJCAI 2017
The MADP Toolbox: An Open Source Library for Planning and Learning in (Multi-)Agent Systems JMLR 2017