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Deep RL

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An Analytical Study of Utility Functions in Multi-Objective Reinforcement Learning NIPS 2024
SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions NIPS 2024
Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning NIPS 2024
Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf NIPS 2024
RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation NIPS 2024
Reinforcement Learning for Edit-Based Non-Autoregressive Neural Machine Translation NAACL 2024
Bit_numeval at SemEval-2024 Task 7: Enhance Numerical Sensitivity and Reasoning Completeness for Quantitative Understanding NAACL 2024
Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning NIPS 2024
Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning NIPS 2024
Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs NIPS 2024
Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces NIPS 2024
Speculative Monte-Carlo Tree Search NIPS 2024
Learning to Assist Humans without Inferring Rewards NIPS 2024
Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning NIPS 2024
Flipping-based Policy for Chance-Constrained Markov Decision Processes NIPS 2024
ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search NIPS 2024
Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation NIPS 2024
OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations NIPS 2024
Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy NIPS 2024
Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation NIPS 2024
Towards a Zero-Data, Controllable, Adaptive Dialog System COLING 2024
An Approach towards Unsupervised Text Simplification on Paragraph-Level for German Texts COLING 2024
KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement Learning COLING 2024
Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs NIPS 2024
PopALM: Popularity-Aligned Language Models for Social Media Trendy Response Prediction COLING 2024