Applications
3,394 papers (43 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
3
1
7
17
18
17
9
21
26
29
32
25
23
35
82
159
268
355
414
387
470
513
420
63
'5
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Papers (including subtopics)
Agbots 2.0: Weeding Denser Fields with Fewer Robots
RSS 2020
Agent57: Outperforming the Atari Human Benchmark
ICML 2020
A Global Quasi-Dynamic Model for Contact-Trajectory Optimization in Manipulation
RSS 2020
Algorithmic Improvements for Deep Reinforcement Learning Applied to Interactive Fiction
AAAI 2020
A Motion Taxonomy for Manipulation Embedding
RSS 2020
A Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits
ICML 2020
Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions
AISTATS 2020
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence
AAAI 2020
AsyncQVI: Asynchronous-Parallel Q-Value Iteration for Discounted Markov Decision Processes with Near-Optimal Sample Complexity
AISTATS 2020
Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset
AAAI 2020
Augmenting GAIL with BC for sample efficient imitation learning
CoRL 2020
Automatic Curriculum Learning through Value Disagreement
NeurIPS 2020
Auxiliary Tasks Speed Up Learning Point Goal Navigation
CoRL 2020
AvE: Assistance via Empowerment
NeurIPS 2020
BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps
ACL 2020
Bayesian Reinforcement Learning via Deep, Sparse Sampling
AISTATS 2020
Belief-Dependent Macro-Action Discovery in POMDPs using the Value of Information
NeurIPS 2020
Bootstrapped Q-learning with Context Relevant Observation Pruning to Generalize in Text-based Games
EMNLP 2020
Bounding Regret in Empirical Games
AAAI 2020
Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning
ICML 2020
Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning
NeurIPS 2020
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs
CoRL 2020
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings
ICML 2020
Chaining Behaviors from Data with Model-Free Reinforcement Learning
CoRL 2020
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games
NeurIPS 2020