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← Reinforcement Learning
Reinforcement Learning ›

Methods

6,493 papers (10 classified directly here)

Subtopics

Deep RL (3,886) Policy Learning (2,076) Multi-Agent Systems (1,019) Offline RL (726) Meta-Learning (25) Model-Based RL (12)

Papers per year

2
31
34
727
530
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Papers (including subtopics)

IPO: Interior-Point Policy Optimization under Constraints AAAI 2020
Cost-Effective Incentive Allocation via Structured Counterfactual Inference AAAI 2020
Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance AAAI 2020
Count-Based Exploration with the Successor Representation AAAI 2020
Learning Agent Communication under Limited Bandwidth by Message Pruning AAAI 2020
Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations AAAI 2020
An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies AAAI 2020
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks AAAI 2020
How Should an Agent Practice? AAAI 2020
On the Role of Weight Sharing During Deep Option Learning AAAI 2020
Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs AAAI 2020
Transfer Value Iteration Networks AAAI 2020
Gamma-Nets: Generalizing Value Estimation over Timescale AAAI 2020
Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents AAAI 2020
Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards AAAI 2020
Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning AAAI 2020
Attentive Experience Replay AAAI 2020
Parameterized Indexed Value Function for Efficient Exploration in Reinforcement Learning AAAI 2020
Discretizing Continuous Action Space for On-Policy Optimization AAAI 2020
Deep Conservative Policy Iteration AAAI 2020
Reinforcement Learning Based Meta-Path Discovery in Large-Scale Heterogeneous Information Networks AAAI 2020
Reinforcement Learning with Perturbed Rewards AAAI 2020
Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach AAAI 2020
Contextual-Bandit Based Personalized Recommendation with Time-Varying User Interests AAAI 2020
Variational Adversarial Kernel Learned Imitation Learning AAAI 2020