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Reinforcement Learning

7,982 papers (84 classified directly here)

Subtopics

Methods (6,493) Applications (2,922)

Papers per year

9
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48
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Papers (including subtopics)

UCB Momentum Q-learning: Correcting the bias without forgetting ICML 2021
Counterfactual Credit Assignment in Model-Free Reinforcement Learning ICML 2021
Provably Efficient Learning of Transferable Rewards ICML 2021
Learning in Nonzero-Sum Stochastic Games with Potentials ICML 2021
Offline Meta-Reinforcement Learning with Advantage Weighting ICML 2021
PODS: Policy Optimization via Differentiable Simulation ICML 2021
GMAC: A Distributional Perspective on Actor-Critic Framework ICML 2021
Emergent Social Learning via Multi-agent Reinforcement Learning ICML 2021
Continuous Coordination As a Realistic Scenario for Lifelong Learning ICML 2021
Policy Caches with Successor Features ICML 2021
Interactive Learning from Activity Description ICML 2021
Temporal Predictive Coding For Model-Based Planning In Latent Space ICML 2021
Posterior Value Functions: Hindsight Baselines for Policy Gradient Methods 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
Megaverse: Simulating Embodied Agents at One Million Experiences per Second ICML 2021
Efficient Differentiable Simulation of Articulated Bodies ICML 2021
Density Constrained Reinforcement Learning ICML 2021
Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions ICML 2021
On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game ICML 2021
Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning ICML 2021
Decoupling Value and Policy for Generalization in Reinforcement Learning ICML 2021
Cross-domain Imitation from Observations ICML 2021
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL ICML 2021