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Deep RL

3,886 papers

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Papers

Fast active learning for pure exploration in reinforcement learning ICML 2021
UCB Momentum Q-learning: Correcting the bias without forgetting ICML 2021
Counterfactual Credit Assignment in Model-Free Reinforcement Learning ICML 2021
GMAC: A Distributional Perspective on Actor-Critic Framework ICML 2021
Policy Caches with Successor Features ICML 2021
Temporal Predictive Coding For Model-Based Planning In Latent Space ICML 2021
Vector Quantized Models for Planning ICML 2021
Ensemble Bootstrapping for Q-Learning ICML 2021
From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization ICML 2021
Density Constrained Reinforcement Learning ICML 2021
On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game ICML 2021
Decoupling Value and Policy for Generalization in Reinforcement Learning ICML 2021
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL ICML 2021
Model-Based Reinforcement Learning via Latent-Space Collocation ICML 2021
Recomposing the Reinforcement Learning Building Blocks with Hypernetworks ICML 2021
State Entropy Maximization with Random Encoders for Efficient Exploration ICML 2021
Structured World Belief for Reinforcement Learning in POMDP ICML 2021
Multi-Task Reinforcement Learning with Context-based Representations ICML 2021
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks ICML 2021
PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided Exploration ICML 2021
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning ICML 2021
Decoupling Representation Learning from Reinforcement Learning ICML 2021
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning ICML 2021
Taylor Expansion of Discount Factors ICML 2021
REPAINT: Knowledge Transfer in Deep Reinforcement Learning ICML 2021