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06/23/2023
Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation
In this paper we explore few-shot imitation learning for control problem...
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02/15/2023
Trust-Region-Free Policy Optimization for Stochastic Policies
Trust Region Policy Optimization (TRPO) is an iterative method that simu...
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02/05/2023
Sample Dropout: A Simple yet Effective Variance Reduction Technique in Deep Policy Optimization
Recent success in Deep Reinforcement Learning (DRL) methods has shown th...
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01/25/2023
Imitating Human Behaviour with Diffusion Models
Diffusion models have emerged as powerful generative models in the text-...
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01/20/2023
Revisiting Estimation Bias in Policy Gradients for Deep Reinforcement Learning
We revisit the estimation bias in policy gradients for the discounted ep...
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12/14/2022
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning
The availability of challenging benchmarks has played a key role in the ...
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11/20/2022
UniMASK: Unified Inference in Sequential Decision Problems
Randomly masking and predicting word tokens has been a successful approa...
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04/28/2022
Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers
Randomly masking and predicting word tokens has been a successful approa...
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01/31/2022
Monotonic Improvement Guarantees under Non-stationarity for Decentralized PPO
We present a new monotonic improvement guarantee for optimizing decentra...
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01/31/2022
You May Not Need Ratio Clipping in PPO
Proximal Policy Optimization (PPO) methods learn a policy by iteratively...
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12/14/2021
Birds Eye View Social Distancing Analysis System
Social distancing can reduce the infection rates in respiratory pandemic...
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12/11/2021
Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency
Sample efficiency is crucial for imitation learning methods to be applic...
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06/06/2021
SoftDICE for Imitation Learning: Rethinking Off-policy Distribution Matching
We present SoftDICE, which achieves state-of-the-art performance for imi...
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11/25/2020
Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings
We present JueWu-SL, the first supervised-learning-based artificial inte...
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05/03/2020
Investigating the Effects of Robot Engagement Communication on Learning from Demonstration
Robot Learning from Demonstration (RLfD) is a technique for robots to de...
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05/29/2019
Adversarial Imitation Learning from Incomplete Demonstrations
Imitation learning targets deriving a mapping from states to actions, a....
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04/20/2019