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Behavioural cloning
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Evaluation-Time Policy Switching for Offline Reinforcement Learning
Problem Space Transformations for Out-of-Distribution Generalisation in Behavioural Cloning
Improving Trust Estimation in Human-Robot Collaboration Using Beta Reputation at Fine-grained Timescales
Offline-to-online Reinforcement Learning for Image-based Grasping with Scarce Demonstrations
Vision-Language Navigation with Energy-Based Policy
Autonomous Vehicle Controllers From End-to-End Differentiable Simulation
Social Learning through Interactions with Other Agents: A Survey
Explorative Imitation Learning: A Path Signature Approach for Continuous Environments
EvIL: Evolution Strategies for Generalisable Imitation Learning
Closing the gap: Optimizing Guidance and Control Networks through Neural ODEs
Policy Improvement using Language Feedback Models
OIL-AD: An Anomaly Detection Framework for Sequential Decision Sequences
Robust Imitation Learning for Automated Game Testing
Behavioural Cloning in VizDoom
On the Effectiveness of Retrieval, Alignment, and Replay in Manipulation
Working Backwards: Learning to Place by Picking
RObotic MAnipulation Network (ROMAN) $\unicode{x2013}$ Hybrid Hierarchical Learning for Solving Complex Sequential Tasks
Behavioral Cloning via Search in Embedded Demonstration Dataset
Self-Supervised Adversarial Imitation Learning
Quantum Imitation Learning
Balancing policy constraint and ensemble size in uncertainty-based offline reinforcement learning
Improving Behavioural Cloning with Positive Unlabeled Learning
Model-based trajectory stitching for improved behavioural cloning and its applications
Model-based Trajectory Stitching for Improved Offline Reinforcement Learning
Improving TD3-BC: Relaxed Policy Constraint for Offline Learning and Stable Online Fine-Tuning
Information-Theoretic Policy Learning from Partial Observations with Fully Informed Decision Makers
Improving Behavioural Cloning with Human-Driven Dynamic Dataset Augmentation
Learning Cooperation and Online Planning Through Simulation and Graph Convolutional Network
Learning to Classify and Imitate Trading Agents in Continuous Double Auction Markets
A Pragmatic Look at Deep Imitation Learning
On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning
Action Advising with Advice Imitation in Deep Reinforcement Learning
Counter-Strike Deathmatch with Large-Scale Behavioural Cloning
Semi-supervised reward learning for offline reinforcement learning
Offline Reinforcement Learning Hands-On
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