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

Learning to Discern: Imitating Heterogeneous Human Demonstrations with Preference and Representation Learning CORL 2023
Learning to Design and Use Tools for Robotic Manipulation CORL 2023
Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy ICML 2023
SCONE: A Food Scooping Robot Learning Framework with Active Perception CORL 2023
On the Utility of Koopman Operator Theory in Learning Dexterous Manipulation Skills CORL 2023
Evaluating Model-Free Reinforcement Learning toward Safety-Critical Tasks AAAI 2023
Instructing Goal-Conditioned Reinforcement Learning Agents with Temporal Logic Objectives NIPS 2023
Reining Generalization in Offline Reinforcement Learning via Representation Distinction NIPS 2023
Policy-based Reinforcement Learning for Generalisation in Interactive Text-based Environments EACL 2023
DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation CORL 2022
Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning CORL 2022
Value Function Decomposition for Iterative Design of Reinforcement Learning Agents NIPS 2022
Ask4Help: Learning to Leverage an Expert for Embodied Tasks NIPS 2022
Spectrum Random Masking for Generalization in Image-based Reinforcement Learning NIPS 2022
Improving Policy Learning via Language Dynamics Distillation NIPS 2022
Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning NIPS 2022
Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations ICML 2022
Understanding the Evolution of Linear Regions in Deep Reinforcement Learning NIPS 2022
Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data NIPS 2022
PaCo: Parameter-Compositional Multi-task Reinforcement Learning NIPS 2022
Individual Reward Assisted Multi-Agent Reinforcement Learning ICML 2022
Delayed Reinforcement Learning by Imitation ICML 2022
Improving Policy Optimization with Generalist-Specialist Learning ICML 2022
A Unified Framework for Alternating Offline Model Training and Policy Learning NIPS 2022
LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation NIPS 2022