reward function

C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory NeurIPS 2024 Coffee-Gym: An Environment for Evaluating and Improving Natural Language Feedback on Erroneous Code EMNLP 2024 Conditions on Preference Relations that Guarantee the Existence of Optimal Policies AISTATS 2024 Continual Reinforcement Learning for Controlled Text Generation COLING 2024 Decision-Focused Model-based Reinforcement Learning for Reward Transfer MLHC 2024 Decoding-Time Language Model Alignment with Multiple Objectives NeurIPS 2024 DiffAIL: Diffusion Adversarial Imitation Learning AAAI 2024 Diffusion-based Curriculum Reinforcement Learning NeurIPS 2024 Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous and Instruction-guided Driving CVPR 2024 Diffusion-Reward Adversarial Imitation Learning NeurIPS 2024 Directly Fine-Tuning Diffusion Models on Differentiable Rewards ICLR 2024 Do's and Don'ts: Learning Desirable Skills with Instruction Videos NeurIPS 2024 DrEureka: Language Model Guided Sim-To-Real Transfer RSS 2024 Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation EMNLP 2024 EMOTE: An Explainable Architecture for Modelling the Other through Empathy IJCAI 2024 Feedback Efficient Online Fine-Tuning of Diffusion Models ICML 2024 Generative Flow Networks as Entropy-Regularized RL AISTATS 2024 GFlowNet Assisted Biological Sequence Editing NeurIPS 2024 How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach NeurIPS 2024 Imitating Language via Scalable Inverse Reinforcement Learning NeurIPS 2024 Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning? A Theoretical Perspective ICML 2024 Learning Representations for Robust Human-Robot Interaction AAAI 2024 Learning Reward for Robot Skills Using Large Language Models via Self-Alignment ICML 2024 Learning to Compress Prompt in Natural Language Formats NAACL 2024 Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models ICLR 2024