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Agent Systems

3885 directly classified papers

Papers per year

Papers

Learning to Incentivize Other Learning Agents NIPS 2020
Deep active inference agents using Monte-Carlo methods NIPS 2020
People Do Not Just Plan,They Plan to Plan AAAI 2020
Generative 3D Part Assembly via Dynamic Graph Learning NIPS 2020
Be Relevant, Non-Redundant, and Timely: Deep Reinforcement Learning for Real-Time Event Summarization AAAI 2020
Just Ask: An Interactive Learning Framework for Vision and Language Navigation AAAI 2020
Conversational Graph Grounded Policy Learning for Open-Domain Conversation Generation ACL 2020
BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps ACL 2020
Learning Efficient Dialogue Policy from Demonstrations through Shaping ACL 2020
Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance AAAI 2020
Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control AAAI 2020
Latent World Models For Intrinsically Motivated Exploration NIPS 2020
Count-Based Exploration with the Successor Representation AAAI 2020
Stochastic Curiosity Exploration for Dialogue Systems INTERSPEECH 2020
STReSSD: Sim-To-Real from Sound for Stochastic Dynamics CORL 2020
Asynchronous Deep Model Reference Adaptive Control CORL 2020
Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability CORL 2020
Conversation Learner - A Machine Teaching Tool for Building Dialog Managers for Task-Oriented Dialog Systems ACL 2020
Towards an Artificial Argumentation System IJCAI 2020
Online Bayesian Moment Matching based SAT Solver Heuristics ICML 2020
Lookahead-Bounded Q-learning ICML 2020
Attention-Gated Brain Propagation: How the brain can implement reward-based error backpropagation NIPS 2020
Pointer Graph Networks NIPS 2020
Fourier movement primitives: an approach for learning rhythmic robot skills from demonstrations RSS 2020
Room-Across-Room: Multilingual Vision-and-Language Navigation with Dense Spatiotemporal Grounding EMNLP 2020