conftrace_

sparse reward

141 papers

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Co-occurring keywords

reinforcement learning (4352) deep reinforcement learning (903) intrinsic reward (71) multi-agent reinforcement learning (538) reward shaping (110) sample efficiency (472) hindsight experience replay (18) exploration strategy (96) intrinsic motivation (52) imitation learning (744)

Papers

DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning AAAI 2021
An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse Rewards RSS 2021
On the Effect of Auxiliary Tasks on Representation Dynamics AISTATS 2021
Hindsight Expectation Maximization for Goal-conditioned Reinforcement Learning AISTATS 2021
Semi-Supervised Policy Initialization for Playing Games with Language Hints NAACL 2021
Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management NAACL 2021
Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices ICML 2021
Hindsight Trust Region Policy Optimization IJCAI 2021
Exploration via State influence Modeling AAAI 2021
Dynamic Automaton-Guided Reward Shaping for Monte Carlo Tree Search AAAI 2021
Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems NIPS 2021
NovelD: A Simple yet Effective Exploration Criterion NIPS 2021
ELLA: Exploration through Learned Language Abstraction NIPS 2021
Dynamic Bottleneck for Robust Self-Supervised Exploration NIPS 2021
Haptics-based Curiosity for Sparse-reward Tasks CORL 2021
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL NIPS 2021
Potential Driven Reinforcement Learning for Hard Exploration Tasks IJCAI 2020
I²HRL: Interactive Influence-based Hierarchical Reinforcement Learning IJCAI 2020
Generative Exploration and Exploitation AAAI 2020
PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards CORL 2020
Automatic Curriculum Learning For Deep RL: A Short Survey IJCAI 2020
Towards High-Level Intrinsic Exploration in Reinforcement Learning IJCAI 2020
Algorithmic Improvements for Deep Reinforcement Learning Applied to Interactive Fiction AAAI 2020
Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning NIPS 2020
Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning NIPS 2020