From 721b224d6136c5b56b6525958bd730f48cfa1194 Mon Sep 17 00:00:00 2001 From: zhengyao Date: Wed, 4 Oct 2023 10:51:48 +0100 Subject: [PATCH] update build --- index.html | 6 +++--- serve_news.json | 2 +- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/index.html b/index.html index 3d523d261741..badb202ce537 100644 --- a/index.html +++ b/index.html @@ -188,6 +188,9 @@

News

  • 25/09/2023:

    Large language models are not zero-shot communicators has been accepted to NeurIPS 2023 (spotlight).

    • +
  • + 25/09/2023:

    SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning has been accepted to NeurIPS 2023.

    • +
  • 24/01/2023:

    MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning has been accepted to ICLR 2023.

    • @@ -206,9 +209,6 @@

    News

  • 8/11/2022:

    Exploration via Elliptical Episodic Bonuses has been accepted to NeurIPS 2022.

    • -
  • - 8/11/2022:

    Improving Intrinsic Exploration with Language Abstractions has been accepted to NeurIPS 2022.

    • - diff --git a/serve_news.json b/serve_news.json index b6b87a8a710e..6fb8b660826e 100644 --- a/serve_news.json +++ b/serve_news.json @@ -1 +1 @@ -[{"date":"25/09/2023","message":"[Large language models are not zero-shot communicators](https://arxiv.org/abs/2210.14986) has been accepted to NeurIPS 2023 (spotlight)."},{"date":"24/01/2023","message":"[MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning](https://arxiv.org/abs/2303.03376) has been accepted to ICLR 2023."},{"date":"24/01/2023","message":"[Efficient Planning in a Compact Latent Action Space](https://arxiv.org/abs/2208.10291) has been accepted to ICLR 2023."},{"date":"09/01/2023","message":"[A Survey of Zero-shot Generalisation in Deep Reinforcement Learning](https://arxiv.org/abs/2111.09794) has been published in JAIR."},{"date":"8/11/2022","message":"[Grounding Aleatoric Uncertainty for Unsupervised Environment Design](https://arxiv.org/abs/2207.05219) has been accepted to NeurIPS 2022."},{"date":"8/11/2022","message":"[Learning General World Models in a Handful of Reward-Free Deployments](https://arxiv.org/abs/2210.12719) has been accepted to NeurIPS 2022."},{"date":"8/11/2022","message":"[Exploration via Elliptical Episodic Bonuses](https://arxiv.org/abs/2210.05805) has been accepted to NeurIPS 2022."},{"date":"8/11/2022","message":"[Improving Intrinsic Exploration with Language Abstractions](https://arxiv.org/abs/2202.08938) has been accepted to NeurIPS 2022."},{"date":"8/11/2022","message":"[GriddlyJS: A Web IDE for Reinforcement Learning](https://arxiv.org/abs/2207.06105) has been accepted to NeurIPS 2022."},{"date":"8/11/2022","message":"[Dungeons and Data: A Large-Scale NetHack Dataset](https://arxiv.org/abs/2211.00539) has been accepted to NeurIPS 2022."},{"date":"8/11/2022","message":"[Improving Policy Learning via Language Dynamics Distillation](https://arxiv.org/abs/2210.00066) has been accepted to NeurIPS 2022."},{"date":"8/11/2022","message":"[ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective](https://arxiv.org/abs/2207.09980) has been accepted to NeurIPS 2022."},{"date":"12/08/2022","message":"[Hierarchical Kickstarting for Skill Transfer in Reinforcement Learning](https://arxiv.org/abs/2207.11584) has been accepted to CoLLAs 2022."},{"date":"15/05/2022","message":"[Evolving Curricula with Regret-Based Environment Design](https://arxiv.org/abs/2203.01302) has been accepted to ICML 2022."},{"date":"1/12/2021","message":"[Pasquale Minervini](https://www.neuralnoise.com/) is joining [the School of Informatics](https://www.ed.ac.uk/informatics) at [the University of Edinburgh](https://www.ed.ac.uk/) as a faculty member in 2022, and [he is currently recruiting PhD students!](https://www.neuralnoise.com/2021/call-for-phd-students/)"},{"date":"10/10/2021","message":"[Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions](https://arxiv.org/abs/2110.02439) has been accepted to NeurIPS2021 -- check out [our video](https://www.youtube.com/watch?v=hb2b0K2PTxI) and [Yannic Kilcher's explanation video](https://www.youtube.com/watch?v=W2UT8NjUqrk)!"},{"date":"08/10/2021","message":"[Replay-Guided Adversarial Environment Design](https://arxiv.org/abs/2110.02439) has been accepted to NeurIPS2021."},{"date":"01/10/2021","message":"[MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research](https://arxiv.org/abs/2109.13202) has been accepted to NeurIPS2021."},{"date":"08/07/2021","message":"Tim Rockt\u00e4schel has been promoted to Associate Professor."},{"date":"12/05/2021","message":"[Prioritized Level Replay](https://arxiv.org/abs/2010.03934) has been accepted to ICML2021."},{"date":"12/05/2021","message":"[Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning](https://arxiv.org/abs/2106.00136) has been accepted to ICML2021."},{"date":"01/04/2021","message":"Our paper [Complex Query Answering with Neural Link Predictors](https://arxiv.org/abs/2011.03459) (based on Erik's MSc thesis and supervised by Pasquale) won an [Outstanding Paper Award](https://iclr-conf.medium.com/announcing-iclr-2021-outstanding-paper-awards-9ae0514734ab) at [ICLR 2021](https://iclr.cc/)."},{"date":"19/03/2021","message":"Ed Grefenstette has been promoted to Honorary Professor of UCL."},{"date":"04/03/2021","message":"Tim Rockt\u00e4schel [appeared on the W&B Podcast](https://www.youtube.com/watch?v=oYSNXTkeCtw) to promote [recent work in designing challenging environemnts](https://github.com/facebookresearch/nle) for research in Reinforcement Learning."},{"date":"10/03/2021","message":"[How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds](https://arxiv.org/abs/2010.00685) has been accepted to NAACL2021."},{"date":"12/01/2021","message":"[Complex Query Answering with Neural Link Predictors](https://arxiv.org/abs/2011.03459), our state-of-the-art approach for answering complex queries on large and incomplete Knowledge Graphs, will appear at ICLR 2021 as an Oral -- top 2% of all publications!"},{"date":"12/01/2021","message":"[Learning with AMIGo: Adversarially Motivated Intrinsic Goals](https://openreview.net/forum?id=ETBc_MIMgoX) has been accepted to ICLR2021."},{"date":"12/01/2021","message":"[My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control](https://openreview.net/forum?id=N3zUDGN5lO) has been accepted to ICLR2021."},{"date":"12/01/2021","message":"[Complex Query Answering with Neural Link Predictors](https://openreview.net/forum?id=Mos9F9kDwkz) has been accepted to ICLR2021."},{"date":"18/12/2020","message":"[Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning](arxiv.org/abs/2102.04220) has been accepted to AAMAS2021."},{"date":"25/09/2020","message":"[The NetHack Learning Environment](https://arxiv.org/abs/2006.13760) has been accepted to NeurIPS2020."},{"date":"14/06/2020","message":"[WordCraft: An Environment for Benchmarking Commonsense Agents](https://arxiv.org/abs/2007.09185) has been accepted to 1st Workshop on Language in Reinforcement Learning, ICML2020."},{"date":"15/11/2019","message":"[RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments](https://arxiv.org/abs/2002.12292) has been accepted to ICLR2020."},{"date":"15/11/2019","message":"[RTFM: Generalising to Novel Environment Dynamics via Reading](https://arxiv.org/abs/1910.08210) has been accepted to ICLR2020."}] +[{"date":"25/09/2023","message":"[Large language models are not zero-shot communicators](https://arxiv.org/abs/2210.14986) has been accepted to NeurIPS 2023 (spotlight)."},{"date":"25/09/2023","message":"[SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning](https://arxiv.org/abs/2212.07489) has been accepted to NeurIPS 2023."},{"date":"24/01/2023","message":"[MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning](https://arxiv.org/abs/2303.03376) has been accepted to ICLR 2023."},{"date":"24/01/2023","message":"[Efficient Planning in a Compact Latent Action Space](https://arxiv.org/abs/2208.10291) has been accepted to ICLR 2023."},{"date":"09/01/2023","message":"[A Survey of Zero-shot Generalisation in Deep Reinforcement Learning](https://arxiv.org/abs/2111.09794) has been published in JAIR."},{"date":"8/11/2022","message":"[Grounding Aleatoric Uncertainty for Unsupervised Environment Design](https://arxiv.org/abs/2207.05219) has been accepted to NeurIPS 2022."},{"date":"8/11/2022","message":"[Learning General World Models in a Handful of Reward-Free Deployments](https://arxiv.org/abs/2210.12719) has been accepted to NeurIPS 2022."},{"date":"8/11/2022","message":"[Exploration via Elliptical Episodic Bonuses](https://arxiv.org/abs/2210.05805) has been accepted to NeurIPS 2022."},{"date":"8/11/2022","message":"[Improving Intrinsic Exploration with Language Abstractions](https://arxiv.org/abs/2202.08938) has been accepted to NeurIPS 2022."},{"date":"8/11/2022","message":"[GriddlyJS: A Web IDE for Reinforcement Learning](https://arxiv.org/abs/2207.06105) has been accepted to NeurIPS 2022."},{"date":"8/11/2022","message":"[Dungeons and Data: A Large-Scale NetHack Dataset](https://arxiv.org/abs/2211.00539) has been accepted to NeurIPS 2022."},{"date":"8/11/2022","message":"[Improving Policy Learning via Language Dynamics Distillation](https://arxiv.org/abs/2210.00066) has been accepted to NeurIPS 2022."},{"date":"8/11/2022","message":"[ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective](https://arxiv.org/abs/2207.09980) has been accepted to NeurIPS 2022."},{"date":"12/08/2022","message":"[Hierarchical Kickstarting for Skill Transfer in Reinforcement Learning](https://arxiv.org/abs/2207.11584) has been accepted to CoLLAs 2022."},{"date":"15/05/2022","message":"[Evolving Curricula with Regret-Based Environment Design](https://arxiv.org/abs/2203.01302) has been accepted to ICML 2022."},{"date":"1/12/2021","message":"[Pasquale Minervini](https://www.neuralnoise.com/) is joining [the School of Informatics](https://www.ed.ac.uk/informatics) at [the University of Edinburgh](https://www.ed.ac.uk/) as a faculty member in 2022, and [he is currently recruiting PhD students!](https://www.neuralnoise.com/2021/call-for-phd-students/)"},{"date":"10/10/2021","message":"[Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions](https://arxiv.org/abs/2110.02439) has been accepted to NeurIPS2021 -- check out [our video](https://www.youtube.com/watch?v=hb2b0K2PTxI) and [Yannic Kilcher's explanation video](https://www.youtube.com/watch?v=W2UT8NjUqrk)!"},{"date":"08/10/2021","message":"[Replay-Guided Adversarial Environment Design](https://arxiv.org/abs/2110.02439) has been accepted to NeurIPS2021."},{"date":"01/10/2021","message":"[MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research](https://arxiv.org/abs/2109.13202) has been accepted to NeurIPS2021."},{"date":"08/07/2021","message":"Tim Rockt\u00e4schel has been promoted to Associate Professor."},{"date":"12/05/2021","message":"[Prioritized Level Replay](https://arxiv.org/abs/2010.03934) has been accepted to ICML2021."},{"date":"12/05/2021","message":"[Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning](https://arxiv.org/abs/2106.00136) has been accepted to ICML2021."},{"date":"01/04/2021","message":"Our paper [Complex Query Answering with Neural Link Predictors](https://arxiv.org/abs/2011.03459) (based on Erik's MSc thesis and supervised by Pasquale) won an [Outstanding Paper Award](https://iclr-conf.medium.com/announcing-iclr-2021-outstanding-paper-awards-9ae0514734ab) at [ICLR 2021](https://iclr.cc/)."},{"date":"19/03/2021","message":"Ed Grefenstette has been promoted to Honorary Professor of UCL."},{"date":"04/03/2021","message":"Tim Rockt\u00e4schel [appeared on the W&B Podcast](https://www.youtube.com/watch?v=oYSNXTkeCtw) to promote [recent work in designing challenging environemnts](https://github.com/facebookresearch/nle) for research in Reinforcement Learning."},{"date":"10/03/2021","message":"[How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds](https://arxiv.org/abs/2010.00685) has been accepted to NAACL2021."},{"date":"12/01/2021","message":"[Complex Query Answering with Neural Link Predictors](https://arxiv.org/abs/2011.03459), our state-of-the-art approach for answering complex queries on large and incomplete Knowledge Graphs, will appear at ICLR 2021 as an Oral -- top 2% of all publications!"},{"date":"12/01/2021","message":"[Learning with AMIGo: Adversarially Motivated Intrinsic Goals](https://openreview.net/forum?id=ETBc_MIMgoX) has been accepted to ICLR2021."},{"date":"12/01/2021","message":"[My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control](https://openreview.net/forum?id=N3zUDGN5lO) has been accepted to ICLR2021."},{"date":"12/01/2021","message":"[Complex Query Answering with Neural Link Predictors](https://openreview.net/forum?id=Mos9F9kDwkz) has been accepted to ICLR2021."},{"date":"18/12/2020","message":"[Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning](arxiv.org/abs/2102.04220) has been accepted to AAMAS2021."},{"date":"25/09/2020","message":"[The NetHack Learning Environment](https://arxiv.org/abs/2006.13760) has been accepted to NeurIPS2020."},{"date":"14/06/2020","message":"[WordCraft: An Environment for Benchmarking Commonsense Agents](https://arxiv.org/abs/2007.09185) has been accepted to 1st Workshop on Language in Reinforcement Learning, ICML2020."},{"date":"15/11/2019","message":"[RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments](https://arxiv.org/abs/2002.12292) has been accepted to ICLR2020."},{"date":"15/11/2019","message":"[RTFM: Generalising to Novel Environment Dynamics via Reading](https://arxiv.org/abs/1910.08210) has been accepted to ICLR2020."}]