conftrace_
← 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)

Learning Policy Improvements with Path Integrals AISTATS 2010
A Convergent Online Single Time Scale Actor Critic Algorithm JMLR 2010
A Generalized Path Integral Control Approach to Reinforcement Learning JMLR 2010
Reinforcement Learning to adjust Robot Movements to New Situations RSS 2010
Variable Impedance Control - A Reinforcement Learning Approach RSS 2010
Code-specific policy gradient rules for spiking neurons NIPS 2009
Bootstrapping from Game Tree Search NIPS 2009
Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation NIPS 2009
Solving Stochastic Games NIPS 2009
Improving Existing Fault Recovery Policies NIPS 2009
Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability NIPS 2009
A Generalized Natural Actor-Critic Algorithm NIPS 2009
Multi-Step Dyna Planning for Policy Evaluation and Control NIPS 2009
Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining NIPS 2009
Learning to Explore and Exploit in POMDPs NIPS 2009
The Infinite Partially Observable Markov Decision Process NIPS 2009
Robust Value Function Approximation Using Bilinear Programming NIPS 2009
Complexity of Decentralized Control: Special Cases NIPS 2009
Multi-task Reinforcement Learning in Partially Observable Stochastic Environments JMLR 2009
Transfer Learning for Reinforcement Learning Domains: A Survey JMLR 2009
Policy search via the signed derivative RSS 2009
Biasing Approximate Dynamic Programming with a Lower Discount Factor NIPS 2008
MDPs with Non-Deterministic Policies NIPS 2008
Multi-task Gaussian Process Learning of Robot Inverse Dynamics NIPS 2008
Particle Filter-based Policy Gradient in POMDPs NIPS 2008