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06/14/2023
Language to Rewards for Robotic Skill Synthesis
Large language models (LLMs) have demonstrated exciting progress in acqu...
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04/26/2023
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning
We investigate whether Deep Reinforcement Learning (Deep RL) is able to ...
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12/01/2022
Predictive Sampling: Real-time Behaviour Synthesis with MuJoCo
We introduce MuJoCo MPC (MJPC), an open-source, interactive application ...
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03/31/2022
Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors
We investigate the use of prior knowledge of human and animal movement t...
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12/11/2021
OstrichRL: A Musculoskeletal Ostrich Simulation to Study Bio-mechanical Locomotion
Muscle-actuated control is a research topic of interest spanning differe...
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10/07/2021
Evaluating model-based planning and planner amortization for continuous control
There is a widespread intuition that model-based control methods should ...
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09/29/2021
Learning Dynamics Models for Model Predictive Agents
Model-Based Reinforcement Learning involves learning a dynamics model fr...
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05/25/2021
From Motor Control to Team Play in Simulated Humanoid Football
Intelligent behaviour in the physical world exhibits structure at multip...
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10/12/2020
Local Search for Policy Iteration in Continuous Control
We present an algorithm for local, regularized, policy improvement in re...
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06/22/2020
dm_control: Software and Tasks for Continuous Control
The dm_control software package is a collection of Python libraries and ...
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11/15/2019
Reusable neural skill embeddings for vision-guided whole body movement and object manipulation
Both in simulation settings and robotics, there is an ambition to produc...
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10/21/2019
Modelling Generalized Forces with Reinforcement Learning for Sim-to-Real Transfer
Learning robotic control policies in the real world gives rise to challe...
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03/20/2019
Learning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning
Robots must know how to be gentle when they need to interact with fragil...
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12/05/2018
Relative Entropy Regularized Policy Iteration
We present an off-policy actor-critic algorithm for Reinforcement Learni...
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06/14/2018
Maximum a Posteriori Policy Optimisation
We introduce a new algorithm for reinforcement learning called Maximum a...
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04/17/2018
Learning Awareness Models
We consider the setting of an agent with a fixed body interacting with a...
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01/26/2018
Safe Exploration in Continuous Action Spaces
We address the problem of deploying a reinforcement learning (RL) agent ...
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01/02/2018
DeepMind Control Suite
The DeepMind Control Suite is a set of continuous control tasks with a s...
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07/07/2017
Emergence of Locomotion Behaviours in Rich Environments
The reinforcement learning paradigm allows, in principle, for complex be...
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10/17/2016
Learning and Transfer of Modulated Locomotor Controllers
We study a novel architecture and training procedure for locomotion task...
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03/28/2016
Attend, Infer, Repeat: Fast Scene Understanding with Generative Models
We present a framework for efficient inference in structured image model...
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10/30/2015
Learning Continuous Control Policies by Stochastic Value Gradients
We present a unified framework for learning continuous control policies ...
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09/09/2015
