conftrace_

deep rl

18 papers

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Also known as

DEEP RL

Co-occurring keywords

reinforcement learning (4352) deep reinforcement learning (903) neural network (6616) safe reinforcement learning (120) markov decision process (790) policy learning (702) policy optimization (657) offline reinforcement learning (492) multi-agent reinforcement learning (538) gpu acceleration (44)

Papers

MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity AAAI 2024
Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach NIPS 2024
QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers NIPS 2024
Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration NIPS 2024
Distributional Reinforcement Learning with Regularized Wasserstein Loss NIPS 2024
Planning Multiple Epidemic Interventions with Reinforcement Learning IJCAI 2023
LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework ICML 2023
Safe Reinforcement Learning via Shielding under Partial Observability AAAI 2023
Vessel-to-Vessel Motion Compensation with Reinforcement Learning AAAI 2023
WarpDrive: Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU JMLR 2022
PantheonRL: A MARL Library for Dynamic Training Interactions AAAI 2022
d3rlpy: An Offline Deep Reinforcement Learning Library JMLR 2022
A Minimalist Approach to Offline Reinforcement Learning NIPS 2021
Google Research Football: A Novel Reinforcement Learning Environment AAAI 2020
Feynman-Kac Neural Network Architectures for Stochastic Control Using Second-Order FBSDE Theory L4DC 2020
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods ICML 2020
High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards CORL 2020
DeepMDP: Learning Continuous Latent Space Models for Representation Learning ICML 2019