conftrace_
← Reinforcement Learning
Reinforcement Learning ›

Methods

6,493 papers (10 classified directly here)

Subtopics

Deep RL (3,886) Policy Learning (2,076) Multi-Agent Systems (1,019) Offline RL (726) Meta-Learning (25) Model-Based RL (12)

Papers per year

2
31
34
727
530
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Papers (including subtopics)

Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach AAAI 2022
Learning to Search in Local Branching AAAI 2022
A Provably-Efficient Model-Free Algorithm for Infinite-Horizon Average-Reward Constrained Markov Decision Processes AAAI 2022
OAM: An Option-Action Reinforcement Learning Framework for Universal Multi-Intersection Control AAAI 2022
EMVLight: A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles AAAI 2022
DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning AAAI 2022
AlphaHoldem: High-Performance Artificial Intelligence for Heads-Up No-Limit Poker via End-to-End Reinforcement Learning AAAI 2022
Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education AAAI 2022
Planning with Participation Constraints AAAI 2022
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning AAAI 2022
Robust Adversarial Reinforcement Learning with Dissipation Inequation Constraint AAAI 2022
Enforcement Heuristics for Argumentation with Deep Reinforcement Learning AAAI 2022
Inferring Lexicographically-Ordered Rewards from Preferences AAAI 2022
Learning to Walk with Dual Agents for Knowledge Graph Reasoning AAAI 2022
Context-Specific Representation Abstraction for Deep Option Learning AAAI 2022
Admissible Policy Teaching through Reward Design AAAI 2022
Differentially Private Regret Minimization in Episodic Markov Decision Processes AAAI 2022
Learning by Competition of Self-Interested Reinforcement Learning Agents AAAI 2022
Reinforcement Learning with Stochastic Reward Machines AAAI 2022
Gradient Temporal Difference with Momentum: Stability and Convergence AAAI 2022
Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision Processes AAAI 2022
Smoothing Advantage Learning AAAI 2022
Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods AAAI 2022
Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks AAAI 2022
A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions AAAI 2022