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Maximum Entropy-Regularized Multi-Goal Reinforcement Learning

Maximum Entropy-Regularized Multi-Goal Reinforcement Learning

21 May 2019
Rui Zhao
Xudong Sun
Volker Tresp
ArXivPDFHTML

Papers citing "Maximum Entropy-Regularized Multi-Goal Reinforcement Learning"

20 / 20 papers shown
Title
Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning
Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning
Caleb Chuck
Fan Feng
Carl Qi
Chang Shi
Siddhant Agarwal
Amy Zhang
S. Niekum
47
0
0
06 May 2025
ACE : Off-Policy Actor-Critic with Causality-Aware Entropy
  Regularization
ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization
Tianying Ji
Yongyuan Liang
Yan Zeng
Yu-Juan Luo
Guowei Xu
Jiawei Guo
Ruijie Zheng
Furong Huang
Gang Hua
Huazhe Xu
CML
48
11
0
22 Feb 2024
Contact Energy Based Hindsight Experience Prioritization
Contact Energy Based Hindsight Experience Prioritization
Erdi Sayar
Zhenshan Bing
Carlo DÉramo
Ozgur S. Oguz
Alois C. Knoll
16
3
0
05 Dec 2023
Predictable Reinforcement Learning Dynamics through Entropy Rate Minimization
Predictable Reinforcement Learning Dynamics through Entropy Rate Minimization
Daniel Jarne Ornia
Giannis Delimpaltadakis
Jens Kober
Javier Alonso-Mora
21
1
0
30 Nov 2023
Differentiable Arbitrating in Zero-sum Markov Games
Differentiable Arbitrating in Zero-sum Markov Games
Jing Wang
Meichen Song
Feng Gao
Boyi Liu
Zhaoran Wang
Yi Wu
37
2
0
20 Feb 2023
From Play to Policy: Conditional Behavior Generation from Uncurated
  Robot Data
From Play to Policy: Conditional Behavior Generation from Uncurated Robot Data
Zichen Jeff Cui
Yibin Wang
Nur Muhammad (Mahi) Shafiullah
Lerrel Pinto
LM&Ro
VGen
OffRL
27
89
0
18 Oct 2022
An information-theoretic perspective on intrinsic motivation in
  reinforcement learning: a survey
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey
A. Aubret
L. Matignon
S. Hassas
34
35
0
19 Sep 2022
Graph-Structured Policy Learning for Multi-Goal Manipulation Tasks
Graph-Structured Policy Learning for Multi-Goal Manipulation Tasks
David M. Klee
Ondrej Biza
Robert W. Platt
OffRL
24
1
0
22 Jul 2022
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned
  Reinforcement Learning
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning
Yunfei Li
Tian Gao
Jiaqi Yang
Huazhe Xu
Yi Wu
OffRL
19
22
0
24 Jun 2022
BYOL-Explore: Exploration by Bootstrapped Prediction
BYOL-Explore: Exploration by Bootstrapped Prediction
Z. Guo
S. Thakoor
Miruna Pislar
Bernardo Avila-Pires
Florent Altché
...
Yunhao Tang
Michal Valko
Rémi Munos
M. G. Azar
Bilal Piot
22
68
0
16 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning
Contrastive Learning as Goal-Conditioned Reinforcement Learning
Benjamin Eysenbach
Tianjun Zhang
Ruslan Salakhutdinov
Sergey Levine
SSL
OffRL
25
139
0
15 Jun 2022
Maximum Entropy Population-Based Training for Zero-Shot Human-AI
  Coordination
Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination
Rui Zhao
Jinming Song
Yufeng Yuan
Haifeng Hu
Yang Gao
Yi Wu
Zhongqian Sun
Yang Wei
24
63
0
22 Dec 2021
Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment
Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment
Tung M. Luu
Chang D. Yoo
15
8
0
28 Oct 2021
Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning
Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning
Kibeom Kim
Min Whoo Lee
Yoonsung Kim
Je-hwan Ryu
Minsu Lee
Byoung-Tak Zhang
18
8
0
25 Oct 2021
HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and
  Adaptive Sampling
HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling
Xin Huang
Guy Rosman
Igor Gilitschenski
A. Jasour
Stephen G. McGill
J. Leonard
B. Williams
16
26
0
05 Oct 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to
  Multiagent Domain
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain
Jianye Hao
Tianpei Yang
Hongyao Tang
Chenjia Bai
Jinyi Liu
Zhaopeng Meng
Peng Liu
Zhen Wang
OffRL
36
92
0
14 Sep 2021
Goal-Conditioned Reinforcement Learning with Imagined Subgoals
Goal-Conditioned Reinforcement Learning with Imagined Subgoals
Elliot Chane-Sane
Cordelia Schmid
Ivan Laptev
19
139
0
01 Jul 2021
Rewriting History with Inverse RL: Hindsight Inference for Policy
  Improvement
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement
Benjamin Eysenbach
Xinyang Geng
Sergey Levine
Ruslan Salakhutdinov
OffRL
18
86
0
25 Feb 2020
Exploration via Hindsight Goal Generation
Exploration via Hindsight Goal Generation
Zhizhou Ren
Kefan Dong
Yuanshuo Zhou
Qiang Liu
Jian-wei Peng
27
84
0
10 Jun 2019
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning
Vitchyr H. Pong
Murtaza Dalal
Steven Lin
Ashvin Nair
Shikhar Bahl
Sergey Levine
OffRL
SSL
28
269
0
08 Mar 2019
1