Search Results for author:
Found 9 papers, 8 papers with code
H-GAP: Humanoid Control with a Generalist Planner
However, the extensive collection of human motion-captured data and the derived datasets of humanoid trajectories, such as MoCapAct, paves the way to tackle these challenges.
Mildly Constrained Evaluation Policy for Offline Reinforcement Learning
Offline reinforcement learning (RL) methodologies enforce constraints on the policy to adhere closely to the behavior policy, thereby stabilizing value learning and mitigating the selection of out-of-distribution (OOD) actions during test time.
Optimal Transport for Offline Imitation Learning
In this paper, we introduce Optimal Transport Reward labeling (OTR), an algorithm that assigns rewards to offline trajectories, with a few high-quality demonstrations.
Efficient Planning in a Compact Latent Action Space
Planning-based reinforcement learning has shown strong performance in tasks in discrete and low-dimensional continuous action spaces.
Graph Backup: Data Efficient Backup Exploiting Markovian Transitions
In this paper, we treat the transition data of the MDP as a graph, and define a novel backup operator, Graph Backup, which exploits this graph structure for better value estimation.
Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning
In this work, we show that we can incorporate relational inductive biases, encoded in the form of relational graphs, into agents.
Neural Logic Reinforcement Learning
Deep reinforcement learning (DRL) has achieved significant breakthroughs in various tasks.
A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem
They are, along with a number of recently reviewed or published portfolio-selection strategies, examined in three back-test experiments with a trading period of 30 minutes in a cryptocurrency market.
Cryptocurrency Portfolio Management with Deep Reinforcement Learning
Portfolio management is the decision-making process of allocating an amount of fund into different financial investment products.
