Deep RL

Distributional Model Equivalence for Risk-Sensitive Reinforcement Learning NeurIPS 2023 Diversify \& Conquer: Outcome-directed Curriculum RL via Out-of-Distribution Disagreement NeurIPS 2023 Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling ICML 2023 DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm ICML 2023 DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models NeurIPS 2023 Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions AAAI 2023 Dynamic Inference With Grounding Based Vision and Language Models CVPR 2023 Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies NeurIPS 2023 Efficient Deep Reinforcement Learning Requires Regulating Overfitting ICLR 2023 Efficient Diffusion Policies For Offline Reinforcement Learning NeurIPS 2023 Efficient Exploration in Continuous-time Model-based Reinforcement Learning NeurIPS 2023 Efficient Exploration in Resource-Restricted Reinforcement Learning AAAI 2023 Efficient Exploration via Epistemic-Risk-Seeking Policy Optimization ICML 2023 Efficient Model-Free Exploration in Low-Rank MDPs NeurIPS 2023 Efficient Online Reinforcement Learning with Offline Data ICML 2023 Efficient Potential-based Exploration in Reinforcement Learning using Inverse Dynamic Bisimulation Metric NeurIPS 2023 Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation ICML 2023 Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors RSS 2023 ELDEN: Exploration via Local Dependencies NeurIPS 2023 Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning ICML 2023 Emergent Agentic Transformer from Chain of Hindsight Experience ICML 2023 Enabling Efficient, Reliable Real-World Reinforcement Learning with Approximate Physics-Based Models CoRL 2023 End-to-End Deep Reinforcement Learning for Conversation Disentanglement AAAI 2023 End-to-End Entity Linking with Hierarchical Reinforcement Learning AAAI 2023 Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments ICML 2023