conftrace_

exploration strategy

96 papers

Explore in graph

Co-occurring keywords

reinforcement learning (4352) deep reinforcement learning (903) regret bound (1926) sparse reward (141) markov decision process (790) continuous control (246) intrinsic reward (71) multi-armed bandit (1098) regret minimization (315) online learning (1777)

Papers

Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism ICML 2021
Type-WA*: Using Exploration in Bounded Suboptimal Planning IJCAI 2021
Guided Exploration with Proximal Policy Optimization using a Single Demonstration ICML 2021
Meta-Learning Effective Exploration Strategies for Contextual Bandits AAAI 2021
Exploration of Unknown Environments Using Deep Reinforcement Learning AAAI 2021
Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards ICML 2021
Offline Meta Reinforcement Learning -- Identifiability Challenges and Effective Data Collection Strategies NIPS 2021
A Provably Efficient Sample Collection Strategy for Reinforcement Learning NIPS 2021
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration NIPS 2021
Reward Prediction Error as an Exploration Objective in Deep RL IJCAI 2020
Intrinsic Reward Driven Imitation Learning via Generative Model ICML 2020
An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies AAAI 2020
Optimal Exploration Algorithm of Multi-Agent Reinforcement Learning Methods (Student Abstract) AAAI 2020
Corpus-Level End-to-End Exploration for Interactive Systems AAAI 2020
Generative Exploration and Exploitation AAAI 2020
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks AAAI 2020
Guiding CDCL SAT Search via Random Exploration amid Conflict Depression AAAI 2020
Exploring Parameter Space with Structured Noise for Meta-Reinforcement Learning IJCAI 2020
Geometric Exploration for Online Control NIPS 2020
Task-agnostic Exploration in Reinforcement Learning NIPS 2020
Exploration Based Language Learning for Text-Based Games IJCAI 2020
Leveraging exploration in off-policy algorithms via normalizing flows CORL 2019
QUOTA: The Quantile Option Architecture for Reinforcement Learning AAAI 2019
Perturbed-History Exploration in Stochastic Linear Bandits UAI 2019
Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits ICML 2019