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

AI-Olympics: Exploring the Generalization of Agents through Open Competitions IJCAI 2024
Federated Ensemble-Directed Offline Reinforcement Learning NIPS 2024
Relative Policy-Transition Optimization for Fast Policy Transfer AAAI 2024
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments AAAI 2024
Rethinking Optimal Transport in Offline Reinforcement Learning NIPS 2024
Do's and Don'ts: Learning Desirable Skills with Instruction Videos NIPS 2024
Growing Q-networks: Solving continuous control tasks with adaptive control resolution L4DC 2024
Controlgym: Large-scale control environments for benchmarking reinforcement learning algorithms L4DC 2024
Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient NIPS 2024
Risk-Aware Continuous Control with Neural Contextual Bandits AAAI 2024
RLtools: A Fast, Portable Deep Reinforcement Learning Library for Continuous Control JMLR 2024
Time-Constrained Robust MDPs NIPS 2024
Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach NIPS 2024
Two-Stage Evolutionary Reinforcement Learning for Enhancing Exploration and Exploitation AAAI 2024
DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors NIPS 2024
Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Control NIPS 2024
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration JMLR 2024
ERL-TD: Evolutionary Reinforcement Learning Enhanced with Truncated Variance and Distillation Mutation AAAI 2024
Policy Gradient Methods in the Presence of Symmetries and State Abstractions JMLR 2024
On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control JMLR 2024
Efficient Reinforcement Learning by Discovering Neural Pathways NIPS 2024
Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization NIPS 2024
Simplifying Constraint Inference with Inverse Reinforcement Learning NIPS 2024
Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees NIPS 2024
Universal Morphology Control via Contextual Modulation ICML 2023