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Deep RL

3861 directly classified papers

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Papers

STEER: Unified Style Transfer with Expert Reinforcement EMNLP 2023
Combinatorial Optimization with Policy Adaptation using Latent Space Search NIPS 2023
Reflexion: language agents with verbal reinforcement learning NIPS 2023
PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks NIPS 2023
Recurrent Hypernetworks are Surprisingly Strong in Meta-RL NIPS 2023
StateMask: Explaining Deep Reinforcement Learning through State Mask NIPS 2023
Explore to Generalize in Zero-Shot RL NIPS 2023
CQM: Curriculum Reinforcement Learning with a Quantized World Model NIPS 2023
DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models NIPS 2023
Cross-Episodic Curriculum for Transformer Agents NIPS 2023
Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation NIPS 2023
Iteratively Learn Diverse Strategies with State Distance Information NIPS 2023
Thinker: Learning to Plan and Act NIPS 2023
Prioritizing Samples in Reinforcement Learning with Reducible Loss NIPS 2023
When is Agnostic Reinforcement Learning Statistically Tractable? NIPS 2023
MIMEx: Intrinsic Rewards from Masked Input Modeling NIPS 2023
NetHack is Hard to Hack NIPS 2023
LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios NIPS 2023
Optimistic Active Exploration of Dynamical Systems NIPS 2023
Multi-Step Generalized Policy Improvement by Leveraging Approximate Models NIPS 2023
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies NIPS 2023
State-Action Similarity-Based Representations for Off-Policy Evaluation NIPS 2023
Team-PSRO for Learning Approximate TMECor in Large Team Games via Cooperative Reinforcement Learning NIPS 2023
Generalized Weighted Path Consistency for Mastering Atari Games NIPS 2023
Sampling-based Exploration for Reinforcement Learning of Dexterous Manipulation RSS 2023