conftrace_

continuous control

246 papers

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Co-occurring keywords

reinforcement learning (4352) deep reinforcement learning (903) policy gradient (520) sample efficiency (472) model-based reinforcement learning (415) policy optimization (657) off-policy learning (228) imitation learning (744) policy learning (702) offline reinforcement learning (492)

Papers

Latent State-Predictive Exploration for Deep Reinforcement Learning AAAI 2026
Enhancing Exploration and Exploitation in Hierarchical Reinforcement Learning with Subgoal Graph Learning AAAI 2026
LPPG-RL: Lexicographically Projected Policy Gradient Reinforcement Learning with Subproblem Exploration AAAI 2026
Test-driven Reinforcement Learning in Continuous Control AAAI 2026
Do It for HER: First-Order Temporal Logic Reward Specification in Reinforcement Learning AAAI 2026
Stabilizing Policy Gradient Methods via Reward Profiling AAAI 2026
Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs AAAI 2025
KIPPO: Koopman-Inspired Proximal Policy Optimization IJCAI 2025
Active Reinforcement Learning Strategies for Offline Policy Improvement AAAI 2025
Truncated Gaussian Policy for Debiased Continuous Control AAAI 2025
CTD4 – a Deep Continuous Distributional Actor-Critic Agent with a Kalman Fusion of Multiple Critics AAAI 2025
SMoSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks AAAI 2025
Visual Reinforcement Learning with Residual Action AAAI 2025
SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks AAAI 2025
ERL-TD: Evolutionary Reinforcement Learning Enhanced with Truncated Variance and Distillation Mutation AAAI 2024
Federated Ensemble-Directed Offline Reinforcement Learning NIPS 2024
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments AAAI 2024
Relative Policy-Transition Optimization for Fast Policy Transfer AAAI 2024
QueST: Self-Supervised Skill Abstractions for Learning Continuous Control NIPS 2024
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration JMLR 2024
RLtools: A Fast, Portable Deep Reinforcement Learning Library for Continuous Control JMLR 2024
Do's and Don'ts: Learning Desirable Skills with Instruction Videos NIPS 2024
Learning Continuous 3D Words for Text-to-Image Generation CVPR 2024
Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Control NIPS 2024
Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient NIPS 2024