Skip to content
conftrace_

reinforcement learning agent

21 papers

RL AGENT

Papers

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training ACL 2026 Deep Reinforcement Learning with Time-Scale Invariant Memory AAAI 2025 Mapping Smarter, Not Harder: A Test-Time Reinforcement Learning Agent That Improve Without Labels or Model Updates EMNLP 2025 RaSS: Improving Denoising Diffusion Samplers with Reinforced Active Sampling Scheduler CVPR 2025 StepSearch: Igniting LLMs Search Ability via Step-Wise Proximal Policy Optimization EMNLP 2025 BertRLFuzzer: A BERT and Reinforcement Learning Based Fuzzer (Student Abstract) AAAI 2024 Code as Reward: Empowering Reinforcement Learning with VLMs ICML 2024 Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment CVPR 2024 PUZZLES: A Benchmark for Neural Algorithmic Reasoning NeurIPS 2024 Honesty Is the Best Policy: Defining and Mitigating AI Deception NeurIPS 2023 Improving Dialogue Discourse Parsing via Reply-to Structures of Addressee Recognition EMNLP 2023 RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents ICML 2023 Giving Feedback on Interactive Student Programs with Meta-Exploration NeurIPS 2022 On the Effect of Auxiliary Tasks on Representation Dynamics AISTATS 2021 Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-person Simulated 3D Environment IJCAI 2021 Keep CALM and Explore: Language Models for Action Generation in Text-based Games EMNLP 2020 POST: POlicy-Based Switch Tracking AAAI 2020 The Termination Critic AISTATS 2019 FFNet: Video Fast-Forwarding via Reinforcement Learning CVPR 2018 PLASTIC: Prioritize Long and Short-term Information in Top-n Recommendation using Adversarial Training IJCAI 2018 Synthesizing Programs for Images using Reinforced Adversarial Learning ICML 2018