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

A Long $N$-step Surrogate Stage Reward for Deep Reinforcement Learning NIPS 2023
Adaptive Estimation Q-learning with Uncertainty and Familiarity IJCAI 2023
Q-functionals for Value-Based Continuous Control AAAI 2023
Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control AAAI 2023
Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning NIPS 2023
Reduced Policy Optimization for Continuous Control with Hard Constraints NIPS 2023
Optimistic Initialization for Exploration in Continuous Control AAAI 2022
Efficient Continuous Control with Double Actors and Regularized Critics AAAI 2022
Continuous Deep Q-Learning in Optimal Control Problems: Normalized Advantage Functions Analysis NIPS 2022
Learning Interpretable, High-Performing Policies for Autonomous Driving RSS 2022
Temporal abstractions-augmented temporally contrastive learning: An alternative to the Laplacian in RL UAI 2022
Understanding the Evolution of Linear Regions in Deep Reinforcement Learning NIPS 2022
A Simple Decentralized Cross-Entropy Method NIPS 2022
Multi-Sacle Dynamic Coding Improved Spiking Actor Network for Reinforcement Learning AAAI 2022
Continuous MDP Homomorphisms and Homomorphic Policy Gradient NIPS 2022
Policy Learning and Evaluation with Randomized Quasi-Monte Carlo AISTATS 2022
Monte Carlo Augmented Actor-Critic for Sparse Reward Deep Reinforcement Learning from Suboptimal Demonstrations NIPS 2022
Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions NIPS 2022
Disentangling Transfer in Continual Reinforcement Learning NIPS 2022
Dynamic Sparse Training for Deep Reinforcement Learning IJCAI 2022
Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning ICML 2022
Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk IJCAI 2022
When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning NIPS 2022
DNS: Determinantal Point Process Based Neural Network Sampler for Ensemble Reinforcement Learning ICML 2022
Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks L4DC 2022