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zzqBoIFOQ1 | Guiding Safe Exploration with Weakest Preconditions | In reinforcement learning for safety-critical settings, it is often desirable for the agent to obey safety constraints at all points in time, including during training. We present a novel neurosymbolic approach called SPICE to solve this safe exploration problem. SPICE uses an online shielding layer based on symbolic w... | Published as a conference paper at ICLR 2023
GUIDING SAFE EXPLORATION WITH
WEAKEST PRECONDITIONS
Greg Anderson, Swarat Chaudhuri ∗, Isil Dillig ∗,
Department of Computer Science
The University of Texas at Austin
Austin, TX, USA
{ganderso, swarat, isil}@cs.utexas.edu
ABSTRACT
In reinforcement learning for safety-critica... | Greg Anderson, Swarat Chaudhuri, Isil Dillig | Accept: poster | 2,023 | {"id": "zzqBoIFOQ1", "original": "dC_9j4aLwcA", "cdate": 1663850184200, "pdate": 1675279800000, "odate": 1664468100000, "mdate": null, "tcdate": 1663850184200, "tmdate": 1767109375406, "ddate": null, "number": 3283, "content": {"title": "Guiding Safe Exploration with Weakest Preconditions", "authorids": ["~Greg_Anderso... | ICLR.cc/2023/Conference/Paper3283/Reviewer_euEh | null | 4 | {"id": "d3-kXa-Agu", "original": null, "cdate": 1667459319188, "pdate": null, "odate": null, "mdate": null, "tcdate": 1667459319188, "tmdate": 1670985996556, "ddate": null, "number": 4, "content": {"confidence": "4: You are confident in your assessment, but not absolutely certain. It is unlikely, but not impossible, th... | {
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zzqBoIFOQ1 | Guiding Safe Exploration with Weakest Preconditions | In reinforcement learning for safety-critical settings, it is often desirable for the agent to obey safety constraints at all points in time, including during training. We present a novel neurosymbolic approach called SPICE to solve this safe exploration problem. SPICE uses an online shielding layer based on symbolic w... | Published as a conference paper at ICLR 2023
GUIDING SAFE EXPLORATION WITH
WEAKEST PRECONDITIONS
Greg Anderson, Swarat Chaudhuri ∗, Isil Dillig ∗,
Department of Computer Science
The University of Texas at Austin
Austin, TX, USA
{ganderso, swarat, isil}@cs.utexas.edu
ABSTRACT
In reinforcement learning for safety-critica... | Greg Anderson, Swarat Chaudhuri, Isil Dillig | Accept: poster | 2,023 | {"id": "zzqBoIFOQ1", "original": "dC_9j4aLwcA", "cdate": 1663850184200, "pdate": 1675279800000, "odate": 1664468100000, "mdate": null, "tcdate": 1663850184200, "tmdate": 1767109375406, "ddate": null, "number": 3283, "content": {"title": "Guiding Safe Exploration with Weakest Preconditions", "authorids": ["~Greg_Anderso... | ICLR.cc/2023/Conference/Paper3283/Reviewer_HV3z | null | 3 | {"id": "aib0K4Qbbj", "original": null, "cdate": 1666735486524, "pdate": null, "odate": null, "mdate": null, "tcdate": 1666735486524, "tmdate": 1666735486524, "ddate": null, "number": 3, "content": {"confidence": "3: You are fairly confident in your assessment. It is possible that you did not understand some parts of th... | {
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zzqBoIFOQ1 | Guiding Safe Exploration with Weakest Preconditions | "In reinforcement learning for safety-critical settings, it is often desirable for the agent to obey(...TRUNCATED) | "Published as a conference paper at ICLR 2023\nGUIDING SAFE EXPLORATION WITH\nWEAKEST PRECONDITIONS\(...TRUNCATED) | Greg Anderson, Swarat Chaudhuri, Isil Dillig | Accept: poster | 2,023 | "{\"id\": \"zzqBoIFOQ1\", \"original\": \"dC_9j4aLwcA\", \"cdate\": 1663850184200, \"pdate\": 167527(...TRUNCATED) | ICLR.cc/2023/Conference/Paper3283/Reviewer_PYp3 | null | 3 | "{\"id\": \"AQTBBXOc898\", \"original\": null, \"cdate\": 1666651351449, \"pdate\": null, \"odate\":(...TRUNCATED) | {"criticism":0,"example":0,"importance_and_relevance":0,"materials_and_methods":0,"praise":0,"presen(...TRUNCATED) | -10 | -2.667231 | 2.667231 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | {"criticism":0,"example":0,"importance_and_relevance":0,"materials_and_methods":0,"praise":0,"presen(...TRUNCATED) | -10 | iclr2023 | openreview | 0 | 0 | 0 | null | |||
zzL_5WoI3I | An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement Learning | "In this paper, we propose an adaptive entropy-regularization framework (ADER) for multi-agent reinf(...TRUNCATED) | "Under review as a conference paper at ICLR 2023\nAN ADAPTIVE ENTROPY -REGULARIZATION FRAME -\nWORK (...TRUNCATED) | Woojun Kim, Youngchul Sung | Reject | 2,023 | "{\"id\": \"zzL_5WoI3I\", \"original\": \"EJIdt37FT3h\", \"cdate\": 1663849997042, \"pdate\": 167527(...TRUNCATED) | ICLR.cc/2023/Conference/Paper1739/Reviewer_mfnN | null | 4 | "{\"id\": \"f8lmUCwMFi\", \"original\": null, \"cdate\": 1666264303145, \"pdate\": null, \"odate\": (...TRUNCATED) | {"criticism":0,"example":0,"importance_and_relevance":0,"materials_and_methods":0,"praise":0,"presen(...TRUNCATED) | -10 | -2.667231 | 2.667231 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | {"criticism":0,"example":0,"importance_and_relevance":0,"materials_and_methods":0,"praise":0,"presen(...TRUNCATED) | -10 | iclr2023 | openreview | 0 | 0 | 0 | null | |||
zzL_5WoI3I | An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement Learning | "In this paper, we propose an adaptive entropy-regularization framework (ADER) for multi-agent reinf(...TRUNCATED) | "Under review as a conference paper at ICLR 2023\nAN ADAPTIVE ENTROPY -REGULARIZATION FRAME -\nWORK (...TRUNCATED) | Woojun Kim, Youngchul Sung | Reject | 2,023 | "{\"id\": \"zzL_5WoI3I\", \"original\": \"EJIdt37FT3h\", \"cdate\": 1663849997042, \"pdate\": 167527(...TRUNCATED) | ICLR.cc/2023/Conference/Paper1739/Reviewer_dyHK | null | 4 | "{\"id\": \"OP22Ykrg2_\", \"original\": null, \"cdate\": 1666543387728, \"pdate\": null, \"odate\": (...TRUNCATED) | {"criticism":0,"example":0,"importance_and_relevance":0,"materials_and_methods":0,"praise":0,"presen(...TRUNCATED) | -10 | -2.667231 | 2.667231 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | {"criticism":0,"example":0,"importance_and_relevance":0,"materials_and_methods":0,"praise":0,"presen(...TRUNCATED) | -10 | iclr2023 | openreview | 0 | 0 | 0 | null | |||
zzL_5WoI3I | An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement Learning | "In this paper, we propose an adaptive entropy-regularization framework (ADER) for multi-agent reinf(...TRUNCATED) | "Under review as a conference paper at ICLR 2023\nAN ADAPTIVE ENTROPY -REGULARIZATION FRAME -\nWORK (...TRUNCATED) | Woojun Kim, Youngchul Sung | Reject | 2,023 | "{\"id\": \"zzL_5WoI3I\", \"original\": \"EJIdt37FT3h\", \"cdate\": 1663849997042, \"pdate\": 167527(...TRUNCATED) | ICLR.cc/2023/Conference/Paper1739/Reviewer_5qy9 | null | 3 | "{\"id\": \"3EILcfDnSF\", \"original\": null, \"cdate\": 1666643166239, \"pdate\": null, \"odate\": (...TRUNCATED) | {"criticism":0,"example":0,"importance_and_relevance":0,"materials_and_methods":0,"praise":0,"presen(...TRUNCATED) | -10 | -2.667231 | 2.667231 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | {"criticism":0,"example":0,"importance_and_relevance":0,"materials_and_methods":0,"praise":0,"presen(...TRUNCATED) | -10 | iclr2023 | openreview | 0 | 0 | 0 | null | |||
zyfEWkV6it | AutoSparse: Towards Automated Sparse Training | "Sparse training is emerging as a promising avenue for reducing the computational cost of training n(...TRUNCATED) | "Under review as a conference paper at ICLR 2023\nAUTO SPARSE : T OWARDS AUTOMATED SPARSE TRAIN -\nI(...TRUNCATED) | Abhisek Kundu, Naveen Mellempudi, Dharma Teja Vooturi, Bharat Kaul, Pradeep Dubey | Reject | 2,023 | "{\"id\": \"zyfEWkV6it\", \"original\": \"xRjo6l1iSF0\", \"cdate\": 1663849959079, \"pdate\": 167527(...TRUNCATED) | ICLR.cc/2023/Conference/Paper1417/Reviewer_EMVQ | null | 4 | "{\"id\": \"tLSsnSAJhF\", \"original\": null, \"cdate\": 1666595754176, \"pdate\": null, \"odate\": (...TRUNCATED) | {"criticism":0,"example":0,"importance_and_relevance":0,"materials_and_methods":0,"praise":0,"presen(...TRUNCATED) | -10 | -2.667231 | 2.667231 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | {"criticism":0,"example":0,"importance_and_relevance":0,"materials_and_methods":0,"praise":0,"presen(...TRUNCATED) | -10 | iclr2023 | openreview | 0 | 0 | 0 | null | |||
zyfEWkV6it | AutoSparse: Towards Automated Sparse Training | "Sparse training is emerging as a promising avenue for reducing the computational cost of training n(...TRUNCATED) | "Under review as a conference paper at ICLR 2023\nAUTO SPARSE : T OWARDS AUTOMATED SPARSE TRAIN -\nI(...TRUNCATED) | Abhisek Kundu, Naveen Mellempudi, Dharma Teja Vooturi, Bharat Kaul, Pradeep Dubey | Reject | 2,023 | "{\"id\": \"zyfEWkV6it\", \"original\": \"xRjo6l1iSF0\", \"cdate\": 1663849959079, \"pdate\": 167527(...TRUNCATED) | ICLR.cc/2023/Conference/Paper1417/Reviewer_djDX | null | 5 | "{\"id\": \"c1Ef_XDl1bl\", \"original\": null, \"cdate\": 1666830817420, \"pdate\": null, \"odate\":(...TRUNCATED) | {"criticism":0,"example":0,"importance_and_relevance":0,"materials_and_methods":0,"praise":0,"presen(...TRUNCATED) | -10 | -2.667231 | 2.667231 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | {"criticism":0,"example":0,"importance_and_relevance":0,"materials_and_methods":0,"praise":0,"presen(...TRUNCATED) | -10 | iclr2023 | openreview | 0 | 0 | 0 | null | |||
zyfEWkV6it | AutoSparse: Towards Automated Sparse Training | "Sparse training is emerging as a promising avenue for reducing the computational cost of training n(...TRUNCATED) | "Under review as a conference paper at ICLR 2023\nAUTO SPARSE : T OWARDS AUTOMATED SPARSE TRAIN -\nI(...TRUNCATED) | Abhisek Kundu, Naveen Mellempudi, Dharma Teja Vooturi, Bharat Kaul, Pradeep Dubey | Reject | 2,023 | "{\"id\": \"zyfEWkV6it\", \"original\": \"xRjo6l1iSF0\", \"cdate\": 1663849959079, \"pdate\": 167527(...TRUNCATED) | ICLR.cc/2023/Conference/Paper1417/Reviewer_Xqxh | null | 2 | "{\"id\": \"apmjMXvpru\", \"original\": null, \"cdate\": 1667337552704, \"pdate\": null, \"odate\": (...TRUNCATED) | {"criticism":0,"example":0,"importance_and_relevance":0,"materials_and_methods":0,"praise":0,"presen(...TRUNCATED) | -10 | -2.667231 | 2.667231 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | {"criticism":0,"example":0,"importance_and_relevance":0,"materials_and_methods":0,"praise":0,"presen(...TRUNCATED) | -10 | iclr2023 | openreview | 0 | 0 | 0 | null |
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