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Reinforcement Learning

1263 directly classified papers

Papers per year

Papers

Efficient Potential-based Exploration in Reinforcement Learning using Inverse Dynamic Bisimulation Metric NIPS 2023
Supervised Pretraining Can Learn In-Context Reinforcement Learning NIPS 2023
Simplified Temporal Consistency Reinforcement Learning ICML 2023
Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning ICML 2023
Hybrid Learning with New Value Function for the Maximum Common Induced Subgraph Problem AAAI 2023
Actor-Critic Alignment for Offline-to-Online Reinforcement Learning ICML 2023
Goal-Conditioned Generators of Deep Policies AAAI 2023
Behavior Contrastive Learning for Unsupervised Skill Discovery ICML 2023
Deep Reinforcement Learning with Plasticity Injection NIPS 2023
DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization NIPS 2023
VA-learning as a more efficient alternative to Q-learning ICML 2023
Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization ICML 2023
On the Effectiveness of Offline RL for Dialogue Response Generation ICML 2023
Bigger, Better, Faster: Human-level Atari with human-level efficiency ICML 2023
Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization NIPS 2023
Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning NIPS 2023
Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation ICML 2023
Representation-Driven Reinforcement Learning ICML 2023
Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning ICML 2023
For Pre-Trained Vision Models in Motor Control, Not All Policy Learning Methods are Created Equal ICML 2023
Reinforcement Learning for Branch-and-Bound Optimisation Using Retrospective Trajectories AAAI 2023
Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities NIPS 2023
Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning NIPS 2023
Language Instructed Reinforcement Learning for Human-AI Coordination ICML 2023
Aligning Language Models with Preferences through $f$-divergence Minimization ICML 2023