Reinforcement Learning › Methods ›

Deep RL

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Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning ICML 2023

Constrained Decision Transformer for Offline Safe Reinforcement Learning ICML 2023

Emergent Agentic Transformer from Chain of Hindsight Experience ICML 2023

Revisiting Domain Randomization via Relaxed State-Adversarial Policy Optimization ICML 2023

Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees ICML 2023

Horizon-free Learning for Markov Decision Processes and Games: Stochastically Bounded Rewards and Improved Bounds ICML 2023

Low-Switching Policy Gradient with Exploration via Online Sensitivity Sampling ICML 2023

Automatic Unit Test Data Generation and Actor-Critic Reinforcement Learning for Code Synthesis EMNLP 2023

Enhancing Language Model with Unit Test Techniques for Efficient Regular Expression Generation EMNLP 2023

Reader: Model-based language-instructed reinforcement learning EMNLP 2023

Reinforcement Replaces Supervision: Query focused Summarization using Deep Reinforcement Learning EMNLP 2023

Crystal: Introspective Reasoners Reinforced with Self-Feedback EMNLP 2023

trlX: A Framework for Large Scale Reinforcement Learning from Human Feedback EMNLP 2023

Local-Guided Global: Paired Similarity Representation for Visual Reinforcement Learning CVPR 2023

Fusing Pre-Trained Language Models With Multimodal Prompts Through Reinforcement Learning CVPR 2023

AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning With Masked Autoencoders CVPR 2023

Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning CVPR 2023

Parallel $Q$-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation ICML 2023

Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback ICML 2023

Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-per-Second CVPR 2023

Reinforcement Learning-Based Black-Box Model Inversion Attacks CVPR 2023

Adaptive Zone-Aware Hierarchical Planner for Vision-Language Navigation CVPR 2023

Variance Control for Distributional Reinforcement Learning ICML 2023

Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions ICML 2023

Convergence of Actor-Critic with Multi-Layer Neural Networks NIPS 2023