conftrace_

policy learning

702 papers

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Co-occurring keywords

reinforcement learning (4352) imitation learning (744) deep reinforcement learning (903) offline reinforcement learning (492) policy optimization (657) reward function (291) multi-agent system (1819) inverse reinforcement learning (205) markov decision process (790) robot manipulation (262)

Papers

AllSim: Simulating and Benchmarking Resource Allocation Policies in Multi-User Systems NIPS 2023
CORL: Research-oriented Deep Offline Reinforcement Learning Library NIPS 2023
Reining Generalization in Offline Reinforcement Learning via Representation Distinction NIPS 2023
Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy Concentrability NIPS 2023
Learning When to Speak: Latency and Quality Trade-offs for Simultaneous Speech-to-Speech Translation with Offline Models INTERSPEECH 2023
Natural Language Instruction-following with Task-related Language Development and Translation NIPS 2023
STEER: Unified Style Transfer with Expert Reinforcement EMNLP 2023
Experiment Planning with Function Approximation NIPS 2023
PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks NIPS 2023
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning JMLR 2023
A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning JMLR 2023
What Planning Problems Can A Relational Neural Network Solve? NIPS 2023
Inverse Preference Learning: Preference-based RL without a Reward Function NIPS 2023
On the Utility of Koopman Operator Theory in Learning Dexterous Manipulation Skills CORL 2023
Human-in-the-loop Abstractive Dialogue Summarization ACL 2023
Sample Complexity of Goal-Conditioned Hierarchical Reinforcement Learning NIPS 2023
Safe Policy Improvement for POMDPs via Finite-State Controllers AAAI 2023
Learning to Design and Use Tools for Robotic Manipulation CORL 2023
Evaluating Model-Free Reinforcement Learning toward Safety-Critical Tasks AAAI 2023
Towards Learning to Imitate from a Single Video Demonstration JMLR 2023
Expert Data Augmentation in Imitation Learning (Student Abstract) AAAI 2023
Behavior Estimation from Multi-Source Data for Offline Reinforcement Learning AAAI 2023
Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning AAAI 2023
ReDS: Offline RL With Heteroskedastic Datasets via Support Constraints NIPS 2023
Formal Explanations of Neural Network Policies for Planning IJCAI 2023