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09/14/2022
vec2text with Round-Trip Translations
We investigate models that can generate arbitrary natural language text ...
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10/19/2021
Continuous Control with Action Quantization from Demonstrations
In Reinforcement Learning (RL), discrete actions, as opposed to continuo...
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10/10/2021
Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization
The goal of continuous control is to synthesize desired behaviors. In re...
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08/16/2021
Implicitly Regularized RL with Implicit Q-Values
The Q-function is a central quantity in many Reinforcement Learning (RL)...
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06/24/2021
Brax – A Differentiable Physics Engine for Large Scale Rigid Body Simulation
We present Brax, an open source library for rigid body simulation with a...
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06/01/2021
What Matters for Adversarial Imitation Learning?
Adversarial imitation learning has become a popular framework for imitat...
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05/25/2021
Hyperparameter Selection for Imitation Learning
We address the issue of tuning hyperparameters (HPs) for imitation learn...
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04/19/2021
Agent-Centric Representations for Multi-Agent Reinforcement Learning
Object-centric representations have recently enabled significant progres...
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06/10/2020
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study
In recent years, on-policy reinforcement learning (RL) has been successf...
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07/25/2019
Google Research Football: A Novel Reinforcement Learning Environment
Recent progress in the field of reinforcement learning has been accelera...
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10/04/2018