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Latest papers with code

End-to-End Egospheric Spatial Memory

15 Feb 2021ivy-dl/memory

Spatial memory, or the ability to remember and recall specific locations and objects, is central to autonomous agents' ability to carry out tasks in real environments.

GENERAL REINFORCEMENT LEARNING IMITATION LEARNING ROBOT NAVIGATION SEMANTIC SEGMENTATION VISUAL NAVIGATION

6
15 Feb 2021

Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution

29 Sep 2020ml-jku/align-rudder

Align-RUDDER outperforms competitors on complex artificial tasks with delayed reward and few demonstrations.

GENERAL REINFORCEMENT LEARNING MINECRAFT MULTIPLE SEQUENCE ALIGNMENT SAFE EXPLORATION

9
29 Sep 2020

Data-Efficient Reinforcement Learning with Self-Predictive Representations

ICLR 2021 mila-iqia/spr

We further improve performance by adding data augmentation to the future prediction loss, which forces the agent's representations to be consistent across multiple views of an observation.

DATA AUGMENTATION FUTURE PREDICTION GENERAL REINFORCEMENT LEARNING SELF-SUPERVISED LEARNING

28
12 Jul 2020

Counterfactual Data Augmentation using Locally Factored Dynamics

NeurIPS 2020 spitis/mrl

Many dynamic processes, including common scenarios in robotic control and reinforcement learning (RL), involve a set of interacting subprocesses.

DATA AUGMENTATION GENERAL REINFORCEMENT LEARNING MULTI-GOAL REINFORCEMENT LEARNING

52
06 Jul 2020

Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning

ICML 2020 alex-petrenko/sample-factory

In this work we aim to solve this problem by optimizing the efficiency and resource utilization of reinforcement learning algorithms instead of relying on distributed computation.

FPS GAMES GENERAL REINFORCEMENT LEARNING MULTI-AGENT REINFORCEMENT LEARNING

198
21 Jun 2020

Learning to Incentivize Other Learning Agents

NeurIPS 2020 011235813/lio

The challenge of developing powerful and general Reinforcement Learning (RL) agents has received increasing attention in recent years.

GENERAL REINFORCEMENT LEARNING

6
10 Jun 2020

Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps

18 May 2020HuTobias/HIGHLIGHTS-LRP

Specifically, we augment strategy summaries that extract important trajectories of states from simulations of the agent with saliency maps which show what information the agent attends to.

ATARI GAMES DECISION MAKING FEATURE IMPORTANCE GENERAL REINFORCEMENT LEARNING

5
18 May 2020

Stabilizing Transformers for Reinforcement Learning

ICML 2020 lucidrains/x-transformers

Harnessing the transformer's ability to process long time horizons of information could provide a similar performance boost in partially observable reinforcement learning (RL) domains, but the large-scale transformers used in NLP have yet to be successfully applied to the RL setting.

GENERAL REINFORCEMENT LEARNING LANGUAGE MODELLING MACHINE TRANSLATION

187
13 Oct 2019

OpenSpiel: A Framework for Reinforcement Learning in Games

26 Aug 2019deepmind/open_spiel

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

GENERAL REINFORCEMENT LEARNING

2,617
26 Aug 2019

Is Deep Reinforcement Learning Really Superhuman on Atari? Leveling the playing field

13 Aug 2019valeoai/rainbow-iqn-apex

In the Arcade Learning Environment (ALE), small changes in environment parameters such as stochasticity or the maximum allowed play time can lead to very different performance.

ATARI GAMES GENERAL REINFORCEMENT LEARNING

60
13 Aug 2019