 | Baxter, Jonathan |
 |
 | Baxter, Jonathan (Jonathan Baxter) -- A Bayesian/information theoretic model of bias learning - 1996 |
| Baxter, Jonathan (Peter L. Bartlett and Jonathan Baxter) -- Estimation and Approximation Bounds for Gradient-Based Reinforcement Learning - 2000 |
| Baxter, Jonathan (Jonathan Baxter, Andrew Tridgell and Lex Weaver) -- Learning to Play Chess Using Temporal Differences - 2000 |
| Baxter, Jonathan (Jonathan Baxter and Peter Bartlett) -- A result relating convex n-widths to covering numbers with some applications to neural networks - 1997 |
| Baxter, Jonathan (Jonathan Baxter) -- A Bayesian/information theoretic model of learning to learn via multiple task sampling - 1997 |
| Baxter, Jonathan (Jonathan Baxter and Nicolò Cesa-Bianchi) -- Guest Editors' Introduction - 1999 |
| Baxter, Jonathan (Jonathan Baxter and Peter L. Bartlett) -- Reinforcement Learning in POMDP's via Direct Gradient Ascent - 2000 |
| Baxter, Jonathan (Jonathan Baxter) -- Learning internal representations - 1995 |
| Baxter, Jonathan (Jonathan Baxter, Andrew Trigdell and Lex Weaver) -- KnightCap: a chess program that learns by combining TD(lambda) with game-tree search - 1998 |
| Baxter, Jonathan (Llew Mason, Peter L. Bartlett and Jonathan Baxter) -- Improved Generalization Through Explicit Optimization of Margins - 2000 |
| Baxter, Jonathan (Nigel Tao, Jonathan Baxter and Lex Weaver) -- A Multi-Agent, Policy-Gradient Approach to Network Routing - 2001 |
| Baxter, Jonathan (Jonathan Baxter) -- The canonical distortion measure for vector quantization and function approximation - 1997 |
|
