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)

PaCo: Parameter-Compositional Multi-task Reinforcement Learning NIPS 2022
Policy Optimization for Markov Games: Unified Framework and Faster Convergence NIPS 2022
Continual Learning In Environments With Polynomial Mixing Times NIPS 2022
Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning NIPS 2022
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning NIPS 2022
Globally Convergent Policy Search for Output Estimation NIPS 2022
Continuous Deep Q-Learning in Optimal Control Problems: Normalized Advantage Functions Analysis NIPS 2022
When to Update Your Model: Constrained Model-based Reinforcement Learning NIPS 2022
Mismatched No More: Joint Model-Policy Optimization for Model-Based RL NIPS 2022
Understanding the Eluder Dimension NIPS 2022
RORL: Robust Offline Reinforcement Learning via Conservative Smoothing NIPS 2022
The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning NIPS 2022
MaskPlace: Fast Chip Placement via Reinforced Visual Representation Learning NIPS 2022
Proximal Point Imitation Learning NIPS 2022
Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm NIPS 2022
The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games NIPS 2022
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning NIPS 2022
Improving Zero-Shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions NIPS 2022
Mask-based Latent Reconstruction for Reinforcement Learning NIPS 2022
Semantic Exploration from Language Abstractions and Pretrained Representations NIPS 2022
Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement Learning NIPS 2022
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems NIPS 2022
Confident Approximate Policy Iteration for Efficient Local Planning in $q^\pi$-realizable MDPs NIPS 2022
Non-Linear Coordination Graphs NIPS 2022
When are Offline Two-Player Zero-Sum Markov Games Solvable? NIPS 2022