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Deep RL

3861 directly classified papers

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Papers

SPO: Sequential Monte Carlo Policy Optimisation NIPS 2024
On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games NIPS 2024
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory NIPS 2024
Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning NIPS 2024
Learning to Control Camera Exposure via Reinforcement Learning CVPR 2024
ReCoRe: Regularized Contrastive Representation Learning of World Model CVPR 2024
Versatile Navigation Under Partial Observability via Value-guided Diffusion Policy CVPR 2024
Speculative Monte-Carlo Tree Search NIPS 2024
ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search NIPS 2024
Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy NIPS 2024
Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games NIPS 2024
Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs NIPS 2024
A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation NIPS 2024
QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers NIPS 2024
FactorSim: Generative Simulation via Factorized Representation NIPS 2024
Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning EMNLP 2024
REBEL: Reinforcement Learning via Regressing Relative Rewards NIPS 2024
Learning Embeddings for Sequential Tasks Using Population of Agents IJCAI 2024
Online Learning with Off-Policy Feedback in Adversarial MDPs IJCAI 2024
Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach NIPS 2024
Integrating Neural Pathways for Learning in Deep Reinforcement Learning Models AAAI 2024
Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration NIPS 2024
Online Iterative Reinforcement Learning from Human Feedback with General Preference Model NIPS 2024
The CoachAI Badminton Environment: A Novel Reinforcement Learning Environment with Realistic Opponents (Student Abstract) AAAI 2024
The surprising efficiency of temporal difference learning for rare event prediction NIPS 2024