← Applications
Reinforcement Learning › Applications ›

Robotics

2069 directly classified papers

Papers per year

Papers

Learning to Discover Skills through Guidance NIPS 2023
RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability NIPS 2023
MoVie: Visual Model-Based Policy Adaptation for View Generalization NIPS 2023
Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints NIPS 2023
A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning NIPS 2023
Robust Reinforcement Learning via Progressive Task Sequence IJCAI 2023
Guide to Control: Offline Hierarchical Reinforcement Learning Using Subgoal Generation for Long-Horizon and Sparse-Reward Tasks IJCAI 2023
Goal-Conditioned Predictive Coding for Offline Reinforcement Learning NIPS 2023
Mixed-Initiative Multiagent Apprenticeship Learning for Human Training of Robot Teams NIPS 2023
Reference-Based POMDPs NIPS 2023
Revisiting the Minimalist Approach to Offline Reinforcement Learning NIPS 2023
f-Policy Gradients: A General Framework for Goal-Conditioned RL using f-Divergences NIPS 2023
Active Vision Reinforcement Learning under Limited Visual Observability NIPS 2023
A Partially-Supervised Reinforcement Learning Framework for Visual Active Search NIPS 2023
Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control NIPS 2023
Gradient Informed Proximal Policy Optimization NIPS 2023
Natural Language Instruction-following with Task-related Language Development and Translation NIPS 2023
Coherent Soft Imitation Learning NIPS 2023
Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels ICML 2023
GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models ICML 2023
HDVIO: Improving Localization and Disturbance Estimation with Hybrid Dynamics VIO RSS 2023
Unsupervised Skill Discovery for Learning Shared Structures across Changing Environments ICML 2023
Principled Offline RL in the Presence of Rich Exogenous Information ICML 2023
Parallel $Q$-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation ICML 2023
Masked Trajectory Models for Prediction, Representation, and Control ICML 2023