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Principled Exploration via Optimistic Bootstrapping and Backward
  Induction

Principled Exploration via Optimistic Bootstrapping and Backward Induction

13 May 2021
Chenjia Bai
Lingxiao Wang
Lei Han
Jianye Hao
Animesh Garg
Peng Liu
Zhaoran Wang
    OffRL
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Papers citing "Principled Exploration via Optimistic Bootstrapping and Backward Induction"

11 / 11 papers shown
Title
Ensemble Successor Representations for Task Generalization in
  Offline-to-Online Reinforcement Learning
Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning
Changhong Wang
Xudong Yu
Chenjia Bai
Qiaosheng Zhang
Zhen Wang
40
1
0
12 May 2024
Adaptive trajectory-constrained exploration strategy for deep
  reinforcement learning
Adaptive trajectory-constrained exploration strategy for deep reinforcement learning
Guojian Wang
Faguo Wu
Xiao Zhang
Ning Guo
Zhiming Zheng
41
3
0
27 Dec 2023
Stability of Multi-Agent Learning: Convergence in Network Games with
  Many Players
Stability of Multi-Agent Learning: Convergence in Network Games with Many Players
A. Hussain
D. Leonte
Francesco Belardinelli
Georgios Piliouras
MLT
21
0
0
26 Jul 2023
CIM: Constrained Intrinsic Motivation for Sparse-Reward Continuous Control
Xiang Zheng
Xingjun Ma
Cong Wang
28
1
0
28 Nov 2022
Offline Reinforcement Learning with Adaptive Behavior Regularization
Offline Reinforcement Learning with Adaptive Behavior Regularization
Yunfan Zhou
Xijun Li
Qingyu Qu
OffRL
27
1
0
15 Nov 2022
From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses
From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses
D. Tiapkin
Denis Belomestny
Eric Moulines
A. Naumov
S. Samsonov
Yunhao Tang
Michal Valko
Pierre Menard
31
17
0
16 May 2022
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement
  Learning
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning
Chenjia Bai
Lingxiao Wang
Zhuoran Yang
Zhihong Deng
Animesh Garg
Peng Liu
Zhaoran Wang
OffRL
37
132
0
23 Feb 2022
Anti-Concentrated Confidence Bonuses for Scalable Exploration
Anti-Concentrated Confidence Bonuses for Scalable Exploration
Jordan T. Ash
Cyril Zhang
Surbhi Goel
A. Krishnamurthy
Sham Kakade
43
6
0
21 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
93
0
14 Sep 2021
Provably Efficient Reinforcement Learning with Linear Function
  Approximation Under Adaptivity Constraints
Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints
Chi Jin
Zhuoran Yang
Zhaoran Wang
OffRL
122
166
0
06 Jan 2021
Optimism in Reinforcement Learning with Generalized Linear Function
  Approximation
Optimism in Reinforcement Learning with Generalized Linear Function Approximation
Yining Wang
Ruosong Wang
S. Du
A. Krishnamurthy
135
135
0
09 Dec 2019
1