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Deep RL

3861 directly classified papers

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Papers

Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints NIPS 2023
Two Heads are Better Than One: A Simple Exploration Framework for Efficient Multi-Agent Reinforcement Learning NIPS 2023
Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration NIPS 2023
Online Nonstochastic Model-Free Reinforcement Learning NIPS 2023
InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback NIPS 2023
Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards NIPS 2023
Small batch deep reinforcement learning NIPS 2023
STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning NIPS 2023
Learning to Discover Skills through Guidance NIPS 2023
Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms NIPS 2023
Fast Bellman Updates for Wasserstein Distributionally Robust MDPs NIPS 2023
Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous Control NIPS 2023
A Novel Framework for Policy Mirror Descent with General Parameterization and Linear Convergence NIPS 2023
CORL: Research-oriented Deep Offline Reinforcement Learning Library NIPS 2023
Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL NIPS 2023
Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration NIPS 2023
RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability NIPS 2023
Probabilistic Inference in Reinforcement Learning Done Right NIPS 2023
Optimistic Exploration in Reinforcement Learning Using Symbolic Model Estimates NIPS 2023
Deep Reinforcement Learning with Plasticity Injection NIPS 2023
Learning to Modulate pre-trained Models in RL NIPS 2023
Efficient Potential-based Exploration in Reinforcement Learning using Inverse Dynamic Bisimulation Metric NIPS 2023
Efficient Exploration in Continuous-time Model-based Reinforcement Learning NIPS 2023
Supervised Pretraining Can Learn In-Context Reinforcement Learning NIPS 2023
Parameterizing Non-Parametric Meta-Reinforcement Learning Tasks via Subtask Decomposition NIPS 2023