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Control strategies for physically simulated characters performing two-player competitive sports
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Game Plan: What AI can do for Football, and What Football can do for AI
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Game-Theoretic Multiagent Reinforcement Learning
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Behavior Priors for Efficient Reinforcement Learning
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Learning quadrupedal locomotion over challenging terrain
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Deep reinforcement learning for modeling human locomotion control in neuromechanical simulation
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Reinforced Grounded Action Transformation for Sim-to-Real Transfer
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Data-efficient Hindsight Off-policy Option Learning
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dm_control: Software and Tasks for Continuous Control
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Real World Games Look Like Spinning Tops
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Learning Agile Robotic Locomotion Skills by Imitating Animals
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Hierarchical motor control in mammals and machines
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Learning predict-and-simulate policies from unorganized human motion data
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Grandmaster level in StarCraft II using multi-agent reinforcement learning
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Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning
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Solving Rubik's Cube with a Robot Hand
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Emergent Tool Use From Multi-Agent Autocurricula
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Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control
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Google Research Football: A Novel Reinforcement Learning Environment
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Scalable muscle-actuated human simulation and control
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Learning to Run Faster in a Humanoid Robot Soccer Environment Through Reinforcement Learning
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B-Human 2019 - Complex Team Play Under Natural Lighting Conditions
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Compositional Transfer in Hierarchical Reinforcement Learning
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MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies
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Information asymmetry in KL-regularized RL
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Iterative Reinforcement Learning Based Design of Dynamic Locomotion Skills for Cassie
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Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research
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Emergent Coordination Through Competition
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Open-ended Learning in Symmetric Zero-sum Games
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Learning agile and dynamic motor skills for legged robots
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Physics-based motion capture imitation with deep reinforcement learning
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A survey and critique of multiagent deep reinforcement learning
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Near-Optimal Representation Learning for Hierarchical Reinforcement Learning
38
Neural probabilistic motor primitives for humanoid control
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Hierarchical visuomotor control of humanoids
40
Learning basketball dribbling skills using trajectory optimization and deep reinforcement learning
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Human-level performance in 3D multiplayer games with population-based reinforcement learning
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Re-evaluating evaluation
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Data-Efficient Hierarchical Reinforcement Learning
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Latent Space Policies for Hierarchical Reinforcement Learning
46
Learning by Playing - Solving Sparse Reward Tasks from Scratch
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Diversity is All You Need: Learning Skills without a Reward Function
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Maximum a Posteriori Policy Optimisation
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Learning an Embedding Space for Transferable Robot Skills
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Population Based Training of Neural Networks
51
Meta Learning Shared Hierarchies
52
DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations
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Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments
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Emergent Complexity via Multi-Agent Competition
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Proximal Policy Optimization Algorithms
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Distral: Robust multitask reinforcement learning
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Learning human behaviors from motion capture by adversarial imitation
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Emergence of Locomotion Behaviours in Rich Environments
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Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
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Counterfactual Multi-Agent Policy Gradients
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Multi-Level Discovery of Deep Options
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Emergence of Grounded Compositional Language in Multi-Agent Populations
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FeUdal Networks for Hierarchical Reinforcement Learning
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Grounded Action Transformation for Robot Learning in Simulation
66
DeepStack: Expert-level artificial intelligence in heads-up no-limit poker
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Variational Intrinsic Control
68
Learning and Transfer of Modulated Locomotor Controllers
69
The Option-Critic Architecture
70
Safe and Efficient Off-Policy Reinforcement Learning
71
Learning Multiagent Communication with Backpropagation
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Learning to Communicate with Deep Multi-Agent Reinforcement Learning
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Asynchronous Methods for Deep Reinforcement Learning
74
Mastering the game of Go with deep neural networks and tree search
75
Interactive Control of Diverse Complex Characters with Neural Networks
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Knowing when not to swing: EEG evidence that enhanced perception–action coupling underlies baseball batter expertise
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Deep Reinforcement Learning in Parameterized Action Space
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Learning Continuous Control Policies by Stochastic Value Gradients
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Continuous control with deep reinforcement learning
80
Optimization-based locomotion planning, estimation, and control design for the atlas humanoid robot
81
Online control of simulated humanoids using particle belief propagation
82
High-Dimensional Continuous Control Using Generalized Advantage Estimation
83
Anticipation in Soccer: A Systematic Review
84
Motor skill learning between selection and execution
85
Human-level control through deep reinforcement learning
86
Hierarchical Relative Entropy Policy Search
87
20 years later: deliberate practice and the development of expertise in sport
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Probabilistic Movement Primitives
89
STAC: Simultaneous tracking and calibration
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Humanoid robots learning to walk faster: from the real world to simulation and back
91
MuJoCo: A physics engine for model-based control
92
Synthesis and stabilization of complex behaviors through online trajectory optimization
93
Evolution of Cooperation among Mammalian Carnivores and Its Relevance to Hominin Evolution
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Developmental activities and the acquisition of superior anticipation and decision making in soccer players
96
Multiagent Learning: Basics, Challenges, and Prospects
97
Independent reinforcement learners in cooperative Markov games: a survey regarding coordination problems
98
Computational Mechanisms of Sensorimotor Control
99
On optimizing interdependent skills: a case study in simulated 3D humanoid robot soccer
100
The world of independent learners is not markovian
101
Learning, planning, and control for quadruped locomotion over challenging terrain
102
Cognitive concepts in autonomous soccer playing robots
103
Generalized biped walking control
104
Reinforcement learning for robot soccer
105
Learning Complementary Multiagent Behaviors: A Case Study
106
Learning to dribble on a real robot by success and failure
107
A Comprehensive Survey of Multiagent Reinforcement Learning
108
Sparse but not ‘Grandmother-cell’ coding in the medial temporal lobe
109
Model-Based Reinforcement Learning in a Complex Domain
110
SIMBICON: simple biped locomotion control
111
Autonomous Learning of Stable Quadruped Locomotion
112
Half Field Offense in RoboCup Soccer: A Multiagent Reinforcement Learning Case Study
113
The Chin Pinch: A Case Study in Skill Learning on a Legged Robot
114
Observational Modeling Effects for Movement Dynamics and Movement Outcome Measures Across Differing Task Constraints: A Meta-Analysis
115
Joint action: bodies and minds moving together
116
Cooperative Multi-Agent Learning: The State of the Art
117
Invariant visual representation by single neurons in the human brain
118
Machine Learning for Fast Quadrupedal Locomotion
119
Policy gradient reinforcement learning for fast quadrupedal locomotion
120
Reinforcement Learning in Large State Spaces
121
Composable controllers for physics-based character animation
122
The Prefrontal Cortex—An Update Time Is of the Essence
123
The Complexity of Decentralized Control of Markov Decision Processes
124
An Algorithm for Distributed Reinforcement Learning in Cooperative Multi-Agent Systems
125
Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
126
Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition
127
Team-partitioned, opaque-transition reinforcement learning
128
The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems
129
Reinforcement Learning with Hierarchies of Machines
130
Long Short-Term Memory
132
Layered Learning in Multiagent Systems
133
RoboCup: The Robot World Cup Initiative
134
Some Studies in Machine Learning Using the Game of Checkers
135
Temporal Difference Learning and TD-Gammon
136
Evolving virtual creatures
137
The role of deliberate practice in the acquisition of expert performance.
138
A reference model architecture for intelligent systems design
139
Feudal Reinforcement Learning
140
Combining Specialized Reasoners and General Purpose Planners: A Case Study
141
Unified Theories of Cognition
142
Algorithmic motion planning in robotics
143
Legged Robots That Balance
144
Arms races between and within species
145
Scripts, plans, goals and understanding: an inquiry into human knowledge structures
146
CoMic: Complementary Task Learning & Mimicry for Reusable Skills
147
UT Austin Villa: RoboCup 2019 3D Simulation League Competition and Technical Challenge Champions
148
Overlapping layered learning
150
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker
151
Nando de Freitas, and Nicolas Heess. Robust imitation of diverse behaviors
153
Learning Powerful Kicks on the Aibo ERS-7: The Quest for a Striker
154
On Progress in RoboCup: The Simulation League Showcase
155
Reinforcement learning in the robocup-soccer keepaway
156
Recent Advances in Hierarchical Reinforcement Learning
157
Discrete event dynamic systems: Theory and applications.
158
Karlsruhe Brainstormers - A Reinforcement Learning Approach to Robotic Soccer
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Layered learning in multiagent systems - a winning approach to robotic soccer
160
Neural sequence chunkers
161
Hierarchical organization of motor programs.
162
The rating of chessplayers, past and present
163
The problem of serial order in behavior
164
Tezak, Jerry 34 From Motor Control to Team Play in Simulated Humanoid
165
A Robust Layered Control Syste For A Mobile Robot