Reinforcement Learning

Entropic Risk Optimization in Discounted MDPs AISTATS 2023 Environment Agnostic Representation for Visual Reinforcement Learning ICCV 2023 Equivariant Reinforcement Learning under Partial Observability CoRL 2023 ERASOR2: Instance-Aware Robust 3D Mapping of the Static World in Dynamic Scenes RSS 2023 ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation ICLR 2023 EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model ICLR 2023 Evaluating Model-Free Reinforcement Learning toward Safety-Critical Tasks AAAI 2023 Eventual Discounting Temporal Logic Counterfactual Experience Replay ICML 2023 Evolving Populations of Diverse RL Agents with MAP-Elites ICLR 2023 EXCALIBUR: Encouraging and Evaluating Embodied Exploration CVPR 2023 Expansive Latent Planning for Sparse Reward Offline Reinforcement Learning CoRL 2023 Explainable Multi-Agent Reinforcement Learning for Temporal Queries IJCAI 2023 Explaining Reinforcement Learning with Shapley Values ICML 2023 Explaining RL Decisions with Trajectories ICLR 2023 Exploiting hidden structures in non-convex games for convergence to Nash equilibrium NeurIPS 2023 Exploiting Multiple Abstractions in Episodic RL via Reward Shaping AAAI 2023 Exploiting Proximity-Aware Tasks for Embodied Social Navigation ICCV 2023 Exploration in Reward Machines with Low Regret AISTATS 2023 Exploration via Epistemic Value Estimation AAAI 2023 Exploration via Joint Policy Diversity for Sparse-Reward Multi-Agent Tasks IJCAI 2023 Explore to Generalize in Zero-Shot RL NeurIPS 2023 Exponential Hardness of Reinforcement Learning with Linear Function Approximation COLT 2023 Exponential Smoothing for Off-Policy Learning ICML 2023 Extreme Q-Learning: MaxEnt RL without Entropy ICLR 2023 F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning JMLR 2023