conftrace_

exploration bonus

38 papers

Explore in graph

Co-occurring keywords

reinforcement learning (4352) intrinsic reward (71) sparse reward (141) count-based exploration (7) regret bound (1926) intrinsic motivation (52) function approximation (319) value iteration (162) sample complexity (1169) sample efficiency (472)

Papers

BILE: An Effective Behavior-based Latent Exploration Scheme for Deep Reinforcement Learning IJCAI 2025
Exploration by Learning Diverse Skills through Successor State Representations NIPS 2024
Rethinking Exploration in Reinforcement Learning with Effective Metric-Based Exploration Bonus NIPS 2024
Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning ICML 2023
A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs ICML 2023
Efficient Exploration in Resource-Restricted Reinforcement Learning AAAI 2023
Guiding Pretraining in Reinforcement Learning with Large Language Models ICML 2023
Exploration via Epistemic Value Estimation AAAI 2023
Near-Optimal Differentially Private Reinforcement Learning AISTATS 2023
Efficient Potential-based Exploration in Reinforcement Learning using Inverse Dynamic Bisimulation Metric NIPS 2023
Exploration via Elliptical Episodic Bonuses NIPS 2022
Exploration-Guided Reward Shaping for Reinforcement Learning under Sparse Rewards NIPS 2022
Redeeming intrinsic rewards via constrained optimization NIPS 2022
How to Stay Curious while avoiding Noisy TVs using Aleatoric Uncertainty Estimation ICML 2022
Offline Reinforcement Learning as Anti-exploration AAAI 2022
Improving Intrinsic Exploration with Language Abstractions NIPS 2022
Randomized Exploration in Reinforcement Learning with General Value Function Approximation ICML 2021
Learning and Planning for Time-Varying MDPs Using Maximum Likelihood Estimation JMLR 2021
On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game ICML 2021
From Optimality to Robustness: Adaptive Re-Sampling Strategies in Stochastic Bandits NIPS 2021
Data-Efficient Reinforcement Learning for Malaria Control IJCAI 2021
Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret NIPS 2021
Dynamic Bottleneck for Robust Self-Supervised Exploration NIPS 2021
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning ICML 2021
Fast active learning for pure exploration in reinforcement learning ICML 2021