AGI_and_RL

@reinforcement_learning_channel

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This channel tell you about Artificial General Intelligence and Reinforcement Learning.
author @tokarev_i_v

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AGI_and_RL

17 Nov 2020, 20:44

SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation https://arxiv.org/abs/2011.07215

106 2 2

AGI_and_RL

17 Nov 2020, 14:02

Robust Quadruped Jumping via Deep Reinforcement Learning https://arxiv.org/abs/2011.07089

18 0 0

AGI_and_RL

17 Nov 2020, 04:33

ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning. https://arxiv.org/abs/2011.06777

23 0 0

AGI_and_RL

17 Nov 2020, 03:11

Transfer among Agents: An Efficient Multiagent Transfer Learning Framework https://arxiv.org/abs/2002.08030

23 0 0

AGI_and_RL

16 Nov 2020, 19:26

https://twitter.com/DeepMind/status/1328370419158708224?s=19

DeepMind

Presenting DeepMind Lab2D, a flexible and fast engine for rapidly creating 2D environments. Built for RL, and well suited for the needs of multi-agent research. Paper: https://t.co/tfpE3KPFSZ Github: https://t.co/ClqHToOwSP https://t.co/DRdGZsinOx

26 0 0

AGI_and_RL

16 Nov 2020, 17:48

Active Reinforcement Learning: Observing Rewards at a Cost https://arxiv.org/abs/2011.06709

24 0 0

AGI_and_RL

16 Nov 2020, 12:14

Learning Latent Representations to Influence Multi-Agent Interaction https://arxiv.org/abs/2011.06619

191 0 3

AGI_and_RL

15 Nov 2020, 21:00

Continual Learning of Control Primitives: Skill Discovery via Reset-Games https://arxiv.org/abs/2011.05286

37 0 0

AGI_and_RL

15 Nov 2020, 17:52

Reinforcement Learning with Videos: Combining Offline Observations with Interaction https://arxiv.org/abs/2011.06507

35 0 0

AGI_and_RL

13 Nov 2020, 13:59

https://github.com/google-research/recsim

google-research/recsim

A Configurable Recommender Systems Simulation Platform - google-research/recsim

42 0 0

AGI_and_RL

12 Nov 2020, 20:47

SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning https://arxiv.org/abs/1911.04094

45 0 0

AGI_and_RL

12 Nov 2020, 20:46

A Game-Theoretic Utility Network for Cooperative Multi-Agent Decisions in Adversarial Environments https://arxiv.org/abs/2004.10950

40 0 0

AGI_and_RL

12 Nov 2020, 20:43

Value-Decomposition Multi-Agent Actor-Critics https://arxiv.org/abs/2007.12306

38 0 0

AGI_and_RL

12 Nov 2020, 20:43

QR-MIX: Distributional Value Function Factorisation for Cooperative Multi-Agent Reinforcement Learning https://arxiv.org/abs/2009.04197

34 0 0

AGI_and_RL

12 Nov 2020, 20:41

Multi-Agent Collaboration via Reward Attribution Decomposition https://arxiv.org/abs/2010.08531

34 0 0

AGI_and_RL

12 Nov 2020, 20:36

QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning https://arxiv.org/abs/1803.11485.

34 0 0

AGI_and_RL

10 Nov 2020, 19:00

https://www.nature.com/articles/s41467-019-13073-w

Optimizing agent behavior over long time scales by transporting value

People are able to mentally time travel to distant memories and reflect on the consequences of those past events. Here, the authors show how a mechanism that connects learning from delayed rewards with memory retrieval can enable AI agents to discover links between past events to help decide better ...

33 0 0

AGI_and_RL

8 Nov 2020, 10:17

https://github.com/arrival-ltd/catalyst-rl-tutorial

arrival-ltd/catalyst-rl-tutorial

Using Catalyst.RL to train a robot to perform peg-in-hole insertion in simulation. - arrival-ltd/catalyst-rl-tutorial

33 0 0

AGI_and_RL

8 Nov 2020, 08:00

Human-Robot Collaboration via Deep Reinforcement Learning of Real-World Interactions https://arxiv.org/abs/1912.01715

37 0 0

AGI_and_RL

8 Nov 2020, 07:59

Reinforcement Learning with Human Teachers: Evidence of Feedback and
Guidance with Implications for Learning Performance http://robotic.media.mit.edu/wp-content/uploads/sites/7/2015/01/Thomaz-etal-AAAI-06.pdf

33 0 0

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