Applications
3,394 papers (43 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
3
1
7
17
18
17
9
21
26
29
32
25
23
35
82
159
268
355
414
387
470
513
420
63
'5
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'15
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Papers (including subtopics)
Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning
ICML 2022
Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning
ICML 2022
Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity
NeurIPS 2022
Bridging Model-based Safety and Model-free Reinforcement Learning through System Identification of Low Dimensional Linear Models
RSS 2022
Bridging the Gap Between Learning in Discrete and Continuous Environments for Vision-and-Language Navigation
CVPR 2022
CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-Based Autonomous Urban Driving
AAAI 2022
CAtNIPP: Context-Aware Attention-based Network for Informative Path Planning
CoRL 2022
CHAI: A CHatbot AI for Task-Oriented Dialogue with Offline Reinforcement Learning
NAACL 2022
Chaining Value Functions for Off-Policy Learning
AAAI 2022
Chain of Thought Imitation with Procedure Cloning
NeurIPS 2022
Chess as a Testbed for Language Model State Tracking
AAAI 2022
COACH: Cooperative Robot Teaching
CoRL 2022
Coarse-To-Fine Q-Attention: Efficient Learning for Visual Robotic Manipulation via Discretisation
CVPR 2022
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning
NeurIPS 2022
Collocation Methods for Second Order Systems
RSS 2022
Compositional Generalization in Grounded Language Learning via Induced Model Sparsity
NAACL 2022
Confident Least Square Value Iteration with Local Access to a Simulator
AISTATS 2022
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning
AAAI 2022
Constrained Contrastive Reinforcement Learning
ACML 2022
Constrained Update Projection Approach to Safe Policy Optimization
NeurIPS 2022
Constrained Variational Policy Optimization for Safe Reinforcement Learning
ICML 2022
Continual Learning In Environments With Polynomial Mixing Times
NeurIPS 2022
Continuous Control with Action Quantization from Demonstrations
ICML 2022
Continuous Deep Q-Learning in Optimal Control Problems: Normalized Advantage Functions Analysis
NeurIPS 2022
Continuous MDP Homomorphisms and Homomorphic Policy Gradient
NeurIPS 2022