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reinforcement learning

4352 papers

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Also known as

RL REINFORCE

Co-occurring keywords

large language model (13587) policy learning (702) markov decision process (790) policy optimization (657) policy gradient (520) deep reinforcement learning (903) multi-agent system (1819) imitation learning (744) regret bound (1926) language model (4599)

Papers

IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making IJCAI 2024
Towards Achieving Sub-linear Regret and Hard Constraint Violation in Model-free RL AISTATS 2024
On learning history-based policies for controlling Markov decision processes AISTATS 2024
Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking NIPS 2024
A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation NIPS 2024
AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games NIPS 2024
Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees NIPS 2024
QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers NIPS 2024
Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Control NIPS 2024
FactorSim: Generative Simulation via Factorized Representation NIPS 2024
Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning NIPS 2024
Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection NIPS 2024
Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms NIPS 2024
Keep it Private: Unsupervised Privatization of Online Text NAACL 2024
Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration NIPS 2024
Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games NIPS 2024
Reinforcement Learning for Edit-Based Non-Autoregressive Neural Machine Translation NAACL 2024
RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation NIPS 2024
A Structure-Aware Framework for Learning Device Placements on Computation Graphs NIPS 2024
Reliability Estimation of News Media Sources: Birds of a Feather Flock Together NAACL 2024
QGFN: Controllable Greediness with Action Values NIPS 2024
The surprising efficiency of temporal difference learning for rare event prediction NIPS 2024
Isometric Neural Machine Translation using Phoneme Count Ratio Reward-based Reinforcement Learning NAACL 2024
Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL NIPS 2024
Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning NIPS 2024