
On Multiobjective Policy Optimization as a Tool for Reinforcement Learning
Many advances that have improved the robustness and efficiency of deep r...
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From Motor Control to Team Play in Simulated Humanoid Football
Intelligent behaviour in the physical world exhibits structure at multip...
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Rethinking Exploration for SampleEfficient Policy Learning
Offpolicy reinforcement learning for control has made great strides in ...
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"What, not how": Solving an underactuated insertion task from scratch
Robot manipulation requires a complex set of skills that need to be care...
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Local Search for Policy Iteration in Continuous Control
We present an algorithm for local, regularized, policy improvement in re...
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Dataefficient Hindsight Offpolicy Option Learning
Solutions to most complex tasks can be decomposed into simpler, intermed...
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Acme: A Research Framework for Distributed Reinforcement Learning
Deep reinforcement learning has led to many recentand groundbreakingad...
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A Distributional View on MultiObjective Policy Optimization
Many realworld problems require trading off multiple competing objectiv...
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Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning
Offpolicy reinforcement learning algorithms promise to be applicable in...
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ContinuousDiscrete Reinforcement Learning for Hybrid Control in Robotics
Many realworld control problems involve both discrete decision variable...
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Quinoa: a Qfunction You Infer Normalized Over Actions
We present an algorithm for learning an approximate actionvalue soft Q...
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Modelling Generalized Forces with Reinforcement Learning for SimtoReal Transfer
Learning robotic control policies in the real world gives rise to challe...
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Imagined Value Gradients: ModelBased Policy Optimization with Transferable Latent Dynamics Models
Humans are masters at quickly learning many complex tasks, relying on an...
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Augmenting learning using symmetry in a biologicallyinspired domain
Invariances to translation, rotation and other spatial transformations a...
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VMPO: OnPolicy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control
Some of the most successful applications of deep reinforcement learning ...
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Regularized Hierarchical Policies for Compositional Transfer in Robotics
The successful application of flexible, general learning algorithms  s...
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Robust Reinforcement Learning for Continuous Control with Model Misspecification
We provide a framework for incorporating robustness  to perturbations ...
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Simultaneously Learning Vision and Featurebased Control Policies for Realworld BallinaCup
We present a method for fast training of vision based control policies o...
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Value constrained modelfree continuous control
The naive application of Reinforcement Learning algorithms to continuous...
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Relative Entropy Regularized Policy Iteration
We present an offpolicy actorcritic algorithm for Reinforcement Learni...
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Maximum a Posteriori Policy Optimisation
We introduce a new algorithm for reinforcement learning called Maximum a...
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DeepMind Control Suite
The DeepMind Control Suite is a set of continuous control tasks with a s...
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Deep Reinforcement Learning with Relative Entropy Stochastic Search
Many reinforcement learning methods for continuous control tasks are bas...
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Abbas Abdolmaleki
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