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
'05
'10
'15
'20
'25

Papers (including subtopics)

Performative Reinforcement Learning ICML 2023
Supported Trust Region Optimization for Offline Reinforcement Learning ICML 2023
Stochastic Gradient Succeeds for Bandits ICML 2023
Quantile Credit Assignment ICML 2023
Towards Theoretical Understanding of Inverse Reinforcement Learning ICML 2023
Quantum Policy Gradient Algorithm with Optimized Action Decoding ICML 2023
MANSA: Learning Fast and Slow in Multi-Agent Systems ICML 2023
Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL ICML 2023
Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation ICML 2023
ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs ICML 2023
Optimistic Planning by Regularized Dynamic Programming ICML 2023
Representation-Driven Reinforcement Learning ICML 2023
Multi-User Reinforcement Learning with Low Rank Rewards ICML 2023
Discovering Object-Centric Generalized Value Functions From Pixels ICML 2023
On Many-Actions Policy Gradient ICML 2023
Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation ICML 2023
Provable Reset-free Reinforcement Learning by No-Regret Reduction ICML 2023
MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL ICML 2023
Anti-Exploration by Random Network Distillation ICML 2023
Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling ICML 2023
Efficient Exploration via Epistemic-Risk-Seeking Policy Optimization ICML 2023
Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation ICML 2023
Better Training of GFlowNets with Local Credit and Incomplete Trajectories ICML 2023
Predictable MDP Abstraction for Unsupervised Model-Based RL ICML 2023
Model-based Reinforcement Learning with Scalable Composite Policy Gradient Estimators ICML 2023